JP7231192B2 - Community activity measurement method, community maturity measurement method, and community activity measurement program - Google Patents

Description

The present invention relates to a community activity measuring method, a community maturity measuring method, and a community activity measuring program.

People form groups (communities) of various sizes and live and spend their lives belonging to one or more communities. What kind of situation the community is in, for example, whether it is thriving or not, is very important in choosing an approach to that community. For example, when a company sells a product to a growing community, once the product is sold to one of the members, it may spread to other members by word of mouth. In addition, it is easier to obtain information such as ideas for commercialization from a group that actively exchanges opinions.

When judging the degree of excitement in the community, if it is a community that communicates with each other only by actually meeting, is there an active exchange of opinions, what is the content of the opinions, and what is the expression of the members? , the atmosphere of the members, the frequency of meetings, etc., can be observed to determine what kind of situation the community is in.

However, due to the development of IT technology, people are not limited to actually meeting and communicating, but are now browsing information and exchanging opinions online. Therefore, it is very difficult to determine what kind of situation the community is in, for example, whether it is lively or not, because it is necessary to consider online behavior and offline behavior.

Patent Literature 1 discloses an exchange promotion device that conducts questionnaires using portable terminals possessed by visitors at an event venue and promotes exchanges between visitors through the questionnaires.
Patent Literature 2 discloses an evaluation totaling device that totalizes numerical values relating to evaluations of goods or services based on sentences collected from websites.

However, even with such a technique, it is difficult to judge the excitement level of the community. If it is not clear how excited the community is, it becomes difficult to make effective decisions about how to approach the community. For example, it becomes difficult to decide how to promote the product to the community, and in some cases, opinions are divided among salespeople. In addition, there are insufficient judgment materials such as how information should be provided.

JP 2017-182515 A JP 2015-36923 A

The present invention can measure the degree of excitement in a community, and in what manner are announcements and sales of products, announcements and provision of services, announcements and solicitations of events, and the provision and receipt of other information to the community. It is an object of the present invention to provide a community activity measuring method capable of providing judgment materials for deciding.

In order to solve the above problems, the present invention provides a community activity level measurement method for measuring the activity level of a community when a group of users interacting about a specific purpose or topic is defined as a community, comprising: A step of collecting information A about the behavior of the user in the place where the user interacts; a B step of collecting information B about the user's behavior with respect to the event , obtaining the user's online activity level A1 using the information A, and using the information B to obtain the user's offline activity level B1; and a step C of obtaining an activity level C1 of the community from the activity level A1 and the activity level B1.

According to the present invention, it is possible to measure the degree of excitement in a community, and to decide in what manner to announce or sell products, announce or solicit events, or provide or receive other information to the community. It can provide information for decision making.

4 is a flowchart for explaining an example of a community activity measuring method; FIG. 11 is a flow chart for explaining another example of a community activity level measuring method; FIG. FIG. 2 is a schematic diagram for explaining an example of collecting environmental information and other information at an event site; FIG. 11 is a schematic diagram for explaining another example of collecting environmental information and other information at an event site; It is a figure for demonstrating an example of the development stage of a community.

Hereinafter, a community activity measuring method, a community maturity measuring method, and a community activity measuring program according to the present invention will be described with reference to the drawings. In addition, the present invention is not limited to the embodiments shown below, and can be changed within the scope of those skilled in the art, such as other embodiments, additions, modifications, deletions, etc. is also included in the scope of the present invention as long as the functions and effects of the present invention are exhibited.

The present invention provides a community activity level measurement method for measuring the activity level of a community when a group of users interacting about a specific purpose or topic is defined as a community, wherein the user interacts online. A step of collecting information A about user behavior ; a B step of collecting information B; determining the user's online activity level A1 using the information A; determining the offline activity level B1 of the user using the information B; and a C step of obtaining the activity level C1 of the community from B1.

(First embodiment)
<Flowchart>
First, an overview of the flow of processing for an embodiment of the community activity level measuring method of the present invention will be described. An example of a flow chart is shown in FIG.
In S101, information A regarding user behavior on-line is collected (step A).
In S102, collect information B about user behavior for one or more events held offline by the user and/or a host who organizes or manages at least a part of the place where the user interacts (step B). .
Either S101 or S102 may be performed first.
In S103, the information A is analyzed to obtain the user's online activity level A1, and the information B is analyzed to obtain the user's offline activity level B1.
In S104, the activity level C1 of the community is obtained from the user activity level A1 and the user activity level B1.

FIG. 2 shows another example of the flowchart. FIG. 2 differs from FIG. 1 in S103. In FIG. 1, after S101 and S102, the user's activity A1 and the user's activity B1 are obtained in S103, but the information A is collected in S201 as shown in FIG. The user's activity level A1 may be obtained later in S202. Also, after collecting the information B in S203, the user's activity level B1 may be obtained in S204.
Either the activity level A1 or the activity level B1 may be obtained first.

<more detailed description>
Next, the community activity measuring method of the present embodiment will be described in detail.

In this embodiment, a community is defined as a group of users who interact about a specific purpose or topic. The type of community is not particularly limited. For example, a dinner party, a reading party, a study group, a meeting to discuss specific matters, a gathering to play sports, a gathering to enjoy hobbies, a gathering to drink alcohol, a company/university/school alumni meeting, an OB meeting, an OG meeting, and a housewife's meeting. Gatherings, neighborhood gatherings, volunteers, meetups, fan clubs, work and school groups, etc.

The purpose and topic are not particularly limited. Politics, economics, daily life, lifestyle, hobbies, tastes, academics, art, music, sports, etc. are extremely diverse. Each user of the community (also called a participant, member, etc.) may not be aware of the purpose or topic. Moreover, the purpose or topic may be one, or may be plural.

The scale of the community (the number of participating users) is changed as appropriate. It depends on the type of community and also on time. It is common for a community to start out with a small number of people and then grow in number over time.
The ages of the users who make up the community are not particularly limited.

The criteria for determining whether a person belongs to the community are not particularly limited. For example, a person who has taken some kind of action in a place where users interact online, or a person who has participated in an event held by a member of that community or host, etc., belongs to that community. can.

In the A process, information A is collected.
Information A is information about user behavior in a place where users interact online.
A "place where users interact online" is a place where information such as articles, comments, advertisements, etc. can be viewed online using computer technology, and information such as articles, comments, advertisements, etc. can be provided. places, etc. Examples include home pages, chat rooms, bulletin boards, blogs, and SNS (Social Networking Systems).

Means for accessing the place where users interact is not particularly limited, and includes, for example, a personal computer, a smart phone, a tablet terminal, and the like.

The means for collecting information A can be changed as appropriate and is not particularly limited. For example, a collection program may be created on an online server, or Google Analytics or the like may be used.

Information A includes, for example, the following (a1) to (a6).
(a1) Stay status regarding how long the user stayed on which page in a plurality of web pages that make up the place where the user interacts online (a2) A plurality of places that make up the place where the user interacts online (a3) Transition status regarding which page the user transitioned from to the place where the user interacts online (a4) Online the above In a plurality of web pages that constitute a place for users to interact, transition status within a web page regarding which page to which page was transitioned (a5) Provided by the user or the host in the place where the user interacts online Contents and/or frequency of evaluations issued by said users to articles, comments, announcements, advertisements or other information related to articles, comments, announcements, advertisements or other information (a6) Articles provided by said users or said hosts in places where said users interact online , the user-generated NPS value (Net Promoter Score) for comments, announcements, advertisements or other information;

In step B, information B is collected.
Information B is information about user behavior for one or more events held offline by community users and/or hosts. A host is a person or group that hosts or manages at least a part of the community, and is also called a coordinator or the like.

In this embodiment, an event means a gathering of people held offline. For example, live music, concerts, concerts, movies, briefings, seminars, lectures, sports, athletic meets, plays, choruses, discourses, performances, magic tricks, karaoke competitions, shogi competitions, go competitions, book clubs, evaluations. Meetings, product briefings, exhibitions, exhibitions, movie screenings, weddings, matchmaking, funerals, parties, dinner parties, cooking classes, entrance ceremonies, graduation ceremonies, entrance ceremonies, welcome and farewell parties, etc. . In particular, it is preferable to use the community activity measuring method of the present embodiment for music live performances, which enables more accurate measurement.

The event to be held is not limited to indoors, and may be outdoors. For example, the above examples may be performed outdoors.

The time and number of times the event is held is not particularly limited. For example, the event may be held once a year or several times a year.

The means for collecting information B can be changed as appropriate and is not particularly limited. For example, a collection device may be provided at the event site, or collection may be performed using a mobile phone, smartphone, or the like owned by the user.

Information B includes, for example, the following (b1) to (b3).
(b1) the NPS value (net promoter score) of the event evaluated by the users who participated in the event;
(b2) the frequency with which the user participates in the event; (b3) setting the difficulty of participation in the event based on conditions selected from the day of the week, time, place, scale, participation fee, and number of times the event is held; Event participation status obtained by quantifying the frequency of participation of the user with respect to the difficulty level

In step C, the user's online activity level A1 is obtained using the information A, the user's offline activity level B1 is obtained using the information B, and the community activity level C1 is obtained from the activity level A1 and the activity level B1. It is a process.

In step C, the activity level C1 of the community is obtained, for example, by performing the following (a) to (g).
(a) For one or more items selected from the above (a1) to (a6), determine the evaluation criteria for each and obtain each score to obtain the activity level A1 of each of the users (b) The above (b1) ) to (b3) for one or more items selected from (b3), each score is determined after each evaluation criterion is determined to obtain the activity level B1 of each of the users (c) The activity level A1 of each of the users is calculated (d) averaging within the community using the activity level B1 of each of the users to obtain an average activity level B2 (e) calculating the average activity level A2 (f) standardize the average activity B2 and obtain the normalized activity B3 (g) the normalized activity A3 and the normalized activity B3 are added together to obtain the activity level C1 of the community.

<Specific example 1: Community X>
Next, as a specific example 1, an example in which the activity level of the community X is obtained will be shown. In addition, the example shown below is an example in this embodiment, and it is not restricted to this.
In the following example, the users in community X are A, B, and C.

(a) For one or more items selected from the above (a1) to (a6), determine the evaluation criteria for each and obtain each score to obtain the activity level A1 of each of the users (b) The above (b1) ) to (b3), determine the evaluation criteria for each item, determine each score, and determine the activity level B1 of each of the users.

Detailed examples of evaluation criteria are omitted here. Examples of evaluation criteria will be described later.

User A: Activity A1: 15 points, Activity B1: 25 points User B: Activity A1: 20 points, Activity B1: 45 points User C: Activity A1: 25 points, Activity B1: 25 points B1: 50 points

(c) Averaging within the community using the activity level A1 of each of the users to obtain an average activity level A2 (d) Using the activity level B1 of each user and averaging within the community to obtain an average activity level Find degree B2

In the example of community X, it is as follows.
Average activity level A2: 20 points (= (15 points + 20 points + 25 points) / 3 persons)
Average activity level B2: 40 points (= (25 points + 45 points + 50 points) / 3 persons)

(e) Normalize the average activity level A2 to obtain a normalized activity level A3 (f) Standardize the average activity level B2 to obtain a normalized activity level B3

The term "normalization" as used herein refers to correcting the numerical value in order to add the average activity A2 and the average activity B2.

For example, the highest point of the activity level A1 is used as a reference, and the highest point of the activity level B1 is corrected to coincide with the activity level A1. As a correction method in this case, for example,
Normalized activity level B3 = average activity level B2 x (highest point of activity level A1/highest point of activity level B1)
It can be expressed as.

In such an example, the average activity A2 becomes the normalized activity A3. i.e.
Normalized activity A3 = average activity A2 × (highest point of activity A1 / highest point of activity A1)
becomes.

The normalization is not limited to the above, and the numerical value of the activity level A1 may be corrected based on the highest point of the activity level B1. For such an example, e.g.
Normalized activity A3 = average activity A2 × (highest point of activity B1/highest point of activity A1)
Normalized activity level B3 = average activity level B2 x (highest point of activity level B1/highest point of activity level B1)
It can be expressed as.

In the example of community X, it is as follows.
Normalized activity A3: 20 points (= 20 points x (100 points/100 points))
Normalized activity level B3: 20 points (= 40 points x (100 points/200 points))

(g) Add the normalized activity level A3 and the normalized activity level B3 to obtain the activity level C1 of the community.

In the example of community X, it is as follows.
Activity level C1 of community X: 40 points (=20 points+20 points)

As described above, according to the present embodiment, it is possible to obtain the activity level of a community and determine how high the activity level of the community is.
When the activity level of the community is high, it can be expressed as "the community has vitality" or "the community is lively".
On the other hand, when the activity level of the community is low, it can be expressed as "no vitality in the community" or "no excitement in the community".
Therefore, according to the present embodiment, it is possible to measure the excitement level of the community.

In addition, by measuring the activity level of the community, to decide in what manner to announce and sell products, announce and provide services, announce and solicit events, and provide and receive other information to the community can provide information for making decisions.

For example, when the activity level of the community is high, it is thought that selling products in the community will likely lead to purchases. In addition, if you sell a product to a single user and get a high evaluation, it is thought that word of mouth will easily spread the recognition of that product, so we will actively sell products and services to such a community. It can be judged that it is effective if the notification etc. is performed.
On the other hand, if the level of activity in a community is low, even if products are sold within that community, word-of-mouth recognition will be difficult to spread. It can lead to the judgment that there is

In addition, for example, if the community is highly active, it is possible that opinions are actively exchanged within the community, the participation rate of events is high, etc. Therefore, when extracting some information from the community, more It is possible to obtain information with good freshness close to real time. Also, information obtained from one user is likely to be applicable to other users in the community, and more useful information can be obtained. Therefore, it is possible to obtain information for determining how many users need to acquire information. Also, when information is provided to one user, it can be judged that it is easy to convey to other users.
In this way, by measuring the degree of activity of the community and the degree of excitement in the community, it is possible to obtain information for deciding how to provide or receive information.

Further, according to the present embodiment, since the activity level of a community can be measured, it is possible to make a decision to increase the activity level of a community by performing some operation (approach) on a community with a low activity level. materials can be provided.
Operations on the community can be appropriately changed according to the situation, and are not limited. It can be changed according to the type of community, the numerical value of the degree of activity of the community, and the degree of excitement of the community.

For example, creating attractive content, increasing the number of web pages, holding more attractive events, and providing more interesting topics and information.

Further, the operations for the community may be determined by considering the numerical values of the items (a1) to (a6) and (b1) to (b3). For example, if the numerical value of the stay status in (a1) is low, it is effective to take measures such as further enriching the contents in the place where the community interacts online.

According to this embodiment, it is possible to not only judge whether the activity level of the community is high or low, but also to quantitatively judge how high or low it is. .
Conventionally, information such as user comments and event participation status was individually examined by humans to estimate the degree of excitement in the community. Therefore, it is possible to prevent the adverse effects of different judgment results depending on the evaluator.

It is not necessary to judge whether the activity level of a community is high or low by simply using the numerical value of the community activity level. The judgment criteria also differ depending on the type of community. Even if the communities have the same activity level values, it may be determined that one community is thriving and the other community is not thriving. A coordinator or a member of the community may determine whether the activity level of the community is high or low.

<Specific example 2: Community Y>
The activity level of a community obtained using the measurement method of this embodiment may be considered only in that community, but the activity level of a community obtained may also be used when comparing communities.
As for other examples of communities, an example of determining the activity level C1 of the community Y in the same manner as the example of determining the activity level of the community X will be given below.
For the sake of convenience, the users are designated as A, B, and C in the same manner as in the community X, but the users in the communities X and Y do not need to be the same.

User A: Activity A1: 10 points, Activity B1: 35 points User B: Activity A1: 15 points, Activity B1: 55 points User C: Activity A1: 20 points, Activity B1: 55 points B1: 60 points Average activity level A2: 15 points (= (10 points + 15 points + 20 points) / 3 people)
Average activity level B2: 50 points (= (35 points + 55 points + 60 points) / 3 persons)
Highest score of activity level A1: 100 points Highest score of activity level B1: 250 points Normalized activity level A3: 15 points (= 15 points x (100 points/100 points))
Normalized activity level B3: 20 points (=50 points x (100 points/250 points))
Activity level C1 of community Y: 35 points (= 15 points + 35 points)

Comparing the community X and the community Y in the above example, it can be said that the community X has a higher activity level and the community Y has a lower activity level. In this way, it is possible to compare the degree of activity and excitement of multiple communities with a single index, which has the excellent effect of being able to provide materials for judging how to approach a community, for example. can get.

When comparing the activity level between communities, it is preferable to match the evaluation items (for example, (a1) to (a6) and (b1) to (b3) above) between communities. This improves the accuracy of the comparison. For example, when evaluations (a1) to (a4) are performed for community X above, and evaluations (a1) to (a3) are performed for community Y above, community X must be community In accordance with Y, (a1) to (a3) should be considered.

<Evaluation criteria>
Detailed examples of the processes (a) and (b) are omitted in the examples of communities X and Y above. Here, detailed examples of the processes (a) and (b) will be described.

When obtaining the activity level A1 of each user, for example, for one or more items (also referred to as evaluation items) selected from the above (a1) to (a6), each score is determined after setting the evaluation criteria. to obtain the activity level A1 of each of the users. When obtaining the user's activity level A1, it is preferable to define evaluation criteria so that each evaluation item can be totaled. For example, the evaluation criteria are determined so that the maximum value in each evaluation item is the same or about the same.

Regarding information A, examples of evaluation criteria (a1) to (a6) will be given, but the criteria are not limited to these and can be changed as appropriate. The evaluation criteria shown below are only examples, and may be changed as appropriate depending on the type of community, the host who manages and operates the community, and the like.

(a1) Status of stay on multiple web pages that make up a place where users interact online, regarding how long they stayed on which page Less than 1 hour per day: 1 point 1 hour to 2 hours per day : 3 points 2-3 hours per day: 5 points 3-4 hours per day: 7 points 4 hours or more per day: 10 points

In the above example, the values of 3 points and 5 points, 5 points and 7 points, and 7 points and 10 points overlap, but may be changed as appropriate so as not to contradict each other. For example, the standard of 3 points may be set to less than 2 hours, and the standard of 5 points may be set to 2 hours or more. The same applies to the following examples of evaluation criteria.

(a2) Access status regarding how often and which pages were accessed on multiple web pages that constitute a place for users to interact online Less than 10 times per week: 1 point 10 to 20 times per week : 3 points 20-30 times per week: 5 points 30-40 times per week: 7 points 50 times or more per week: 10 points

(a3) Transition status regarding which page the user transitioned from to the place where the user interacts online Transitioned from Google: 3 points Transitioned from a site that has a search engine other than Google: 4 points Has a search engine Moved by following a link on a site that does not exist: 5 points Moved from SNS: 8 points Moved from an e-mail magazine: 9 points Moved from an advertisement: 10 points

(a4) Transition status within a web page regarding transition from which page to which page in a plurality of web pages that constitute a place where users interact online Transited from page P to page Q: 1 point Q page to R Transitioned to page: 3 points Transitioned from page R to page S: 5 points Transitioned from page S to page T: 7 points Transitioned from page T to page U: 10 points It is a web page that constitutes a place for users to interact on it.

(a5) Contents and/or frequency of evaluations given by users to articles, comments, announcements, advertisements or other information provided by users or hosts where users interact online Multiple articles posted often critically evaluated: 1 point slightly critically evaluated multiple articles published: 2 points less critical or unfavorable evaluation of multiple published articles Frequently gave non-critical and unfavorable ratings to several published articles: 5 points Slightly gave favorable ratings to several published articles: 7 points Appropriate evaluation was frequently given to the article: 10 points. The above definitions of "frequently" and "rarely" are arbitrarily determined.

(a6) NPS value (Net Promoter Score) given by said users to articles, comments, announcements, advertisements or other information provided by users or hosts in places where said users interact online;
NPS is an indicator that is also called the degree of customer recommendation. Please give a score." to the target person and obtain a score. Since the NPS value is evaluated on a scale of 1 to 10, the NPS value may be used as is.

After setting the evaluation criteria as described above, the user's activity level A1 can be obtained by totaling the points of each evaluation item.

When obtaining the activity level B1 of each user, for example, for one or more items (also referred to as evaluation items) selected from the above (b1) to (b3), each score is determined after setting the evaluation criteria. to obtain the activity level B1 of each of the users. As with the user's activity level A1, when obtaining the user's activity level B1, it is preferable to define evaluation criteria so that each evaluation item can be totaled. For example, the evaluation criteria are determined so that the maximum value in each evaluation item is the same or about the same.

Regarding the information B, examples of the evaluation criteria (b1) to (b3) will be given, but the criteria are not limited to these and can be changed as appropriate. The evaluation criteria shown below are only examples, and may be changed as appropriate depending on the type of community, the host who manages and operates the community, and the like.

(b1) NPS value (Net Promoter Score) of the event evaluated by users who participated in the event
Since the NPS value is evaluated on a scale of 1 to 10, the NPS value may be used as is.

(b2) Frequency of user participation in events Participation rate of less than 10%: 1 point Participation rate of 10% to 30%: 3 points Participation rate of 30% to 50%: 5 points Participation rate of 70% to 90%: 7 points Participation rate is 90% or more: 10 points

(b3) Setting the difficulty level of event participation based on conditions selected from the day of the week, time, place, scale, participation fee, and number of times the event is held, and quantifying the frequency of user participation with respect to the difficulty level Desired Event Participation Situation Day, time, place, scale, participation fee, and number of times should be considered, for example, as follows.

Day of the week: weekday or holiday Time: morning, afternoon, daytime, evening, night, midnight Location: near or far from the user's place of residence, near or far from the station, easy to get to Scale: large Is it small? Participation fee: expensive or cheap Number of times: How many times a year is the event held?

The reason for considering such a condition is, for example, that if the user participates in an event that is difficult for the user to participate in, it can be said that the degree of activity is high. For example, if you take time off to participate in an event that is held on a day when you have work, or if you participate in an event that is held at a time when it is difficult to participate, such as late at night, the event will be held in a place far from your residence. It can be said that the degree of activity is high when participants participate in events with high participation fees, when they participate in events with a high participation fee, and when they participate in events that are held only a few times a year.

As conditions for the day of the week, time, place, scale, participation fee, and number of times, one or more of these conditions may be arbitrarily selected.

The difficulty setting can be changed as appropriate, and is not particularly limited. For example, an event (1) with a high participation fee, which is held in a place away from the station on weekday mornings, can be given a high degree of difficulty. For example, the low difficulty level can be set for event (2), which is held at a location near the station on a holiday afternoon and has a low participation fee.

Examples of evaluation criteria for the event participation status in such a case are as follows.
Participated in low-difficulty events less than 10 times a year: 1 point Participated in low-difficulty events 10-20 times a year: 3 points Participated in high-difficulty events less than 10 times a year: 7 points Participated in 10 to 20 high-difficulty events in a year: 8 points Participated in 20 or more low- or high-difficulty events in a year: 9 points

It should be noted that the difficulty level is not limited to being divided into large and small. Since the number of times varies depending on the type of event, etc., it may be changed as appropriate.

As described above, the activity level A1 and the activity level B1 can be obtained by determining the evaluation criteria for each evaluation item and obtaining each score.
In the above example, (a1) to (a6) are given as information A and (b1) to (b3) are given as examples of information B, but these are used as preferred examples in the present embodiment. , but not limited to these. In addition, items that can be conceived by those skilled in the art may be added as appropriate.

(Second embodiment)
Next, another embodiment of the community activity measuring method according to the present invention will be described.
A description of the same items as in the above embodiment is omitted.

In this embodiment, step A collects information A about the user's online behavior and collects the user's user information. In addition, step C uses the information A and the user information to obtain the user's online activity level A1.

User information includes, for example, gender, age, age group, source region of access, language used, device for access, visit status (whether the page is new or repeater), access authority (page can be viewed, can post comments, can post articles, can post images, has administrator authority), etc. In addition, Facebook has a mechanism such as a secret fan group, and information on whether or not the user belongs to the fan group can be mentioned. In addition, there are items that can be measured by Google Analytics.

The method of obtaining the user's online activity level A1 using the information A and the user information can be changed as appropriate.
An example will be described with an example of the community X shown in the first embodiment. In this example, the activity level A1 obtained from the information A is corrected according to the user information, for example. In community X, the activity levels A1 of users A, B, and C were 15 points, 20 points, and 25 points, respectively. For example, for men, the degree of activity A1 is multiplied by 1.1, and for women, the degree of activity A1 is multiplied by 1.2. Note that "x" here indicates multiplication.

The reason why the degree of correction of the activity level A1 differs according to gender is, for example, that community X is a place for exchanging topics for men, and when female users participate, they are more enthusiastic. The reason is
In the above example, if users A, B, and C are male, female, and male, respectively, the activity levels A1 after correction are 16.5 points, 24 points, and 27.5 points, respectively.
By obtaining the user's activity level A1 using user information as in the present embodiment, accuracy can be improved.

In addition, for example, it is possible to make corrections such as “×1.1” for twenties, “×1.2” for thirties, and “×1.3” for forties. Such a multiplication value is also called a correction value.
In addition, the correction value may be increased when accessing from a region other than the home country or when accessing a page in a language other than the native language in the region of the access source or the language used.
Also, if the visitor is new to the page, the correction value may be increased, or the correction value may be changed according to the difference in access authority.

(Third Embodiment)
Next, another embodiment of the community activity measuring method according to the present invention will be described.
A description of the same items as in the above embodiment is omitted.

The method for measuring the degree of activity of a community according to this embodiment measures the environmental information D within the event site hourly from the start to the end of the event, or measures the environmental information D within the event site at the start and end of the event. It further has a D process to do. Further, in the step C in this embodiment, the environmental information D is used to obtain the activity level C1 of the community.

FIG. 3 shows a schematic diagram for explaining an example. FIG. 3 is a diagram schematically showing an example of an event held offline. FIG. 3 shows user 10, sensor 12, event site 15, entry detection means 20, NPS measuring device 22, server 30, program 32, and network 40. FIG.

The sensor 12 measures environmental information D within the event site 15 .
The environmental information D includes, for example, temperature, humidity, illuminance, sound volume, oxygen concentration, carbon dioxide concentration, air volume, vibration, and the like. Among them, at least one of temperature and humidity is preferable.
Moreover, a plurality of environmental information such as temperature and humidity may be measured, or a sensor for measuring temperature and a sensor for measuring humidity may be installed separately.

The sensor 12 preferably uses an IoT (Internet of Things) device, and is connected to a network 40 such as the Internet in this embodiment. A commercially available product may be used as the sensor 12 .
The number to be installed is not particularly limited, and can be changed as appropriate. When a plurality of devices are installed, the average value may be obtained using the environmental information D measured by each device.

In this embodiment, the step C uses the environmental information D to obtain the activity level C1 of the community. A specific example will be described later.

The entry detection means 20 detects entry of the user 10 .
As the entrance detection means 20, a device capable of face recognition may be used, or a device capable of inputting an identification number unique to the user 10 (such as alphanumeric characters) may be used. Alternatively, a device may be used in which the person in charge of the host recognizes the user 10 at the reception of the event and the person in charge inputs. Examples of such devices include personal computers, smart phones, tablet terminals, and the like.

By using the entrance detection means 20, it is possible to grasp which users have participated in the event. As a result, (b2) the frequency at which the user participates in the event, and (b3) the event participation status can be obtained with respect to the information B described above.

Also, instead of providing the entry detection means 20 by the event management side, for example, it is possible to grasp which user has participated in which event by using the mobile phone or smartphone owned by the user.

The NPS measuring device 22 is a device for obtaining the NPS value (net promoter score) of the event evaluated by the users 10 who participated in the event.
The timing of acquiring the NPS value can be changed as appropriate. For example, it is preferable to acquire after the end of the event, or it may be acquired before the event starts or during the event. Alternatively, it may be acquired every hour.

In the illustrated example, one NPS measuring device 22 is installed at the event site 15, but it is not limited to this and can be changed as appropriate. For example, a plurality of NPS measurement devices 22 may be installed, or may be prepared for each user. Alternatively, the NPS value may be obtained using a mobile phone, smartphone, or the like owned by the user. In addition, without installing the NPS measuring device 22, after the event ends, the user who participated in the event may enter the NPS value on the online site on the same day or later, or use a mobile phone, smartphone, etc. The NPS value may be input by mail function, telephone, Internet access function, or the like.

By doing so, it is possible to obtain (b1) the NPS value of the event evaluated by the users who participated in the event with respect to the information B described above.

The server 30 receives information from the sensor 12 , entrance detection means 20 and NPS measurement device 22 . The server 30 stores the community activity measurement program (program 32) of the above embodiment or the present embodiment.
The community activity measurement program of the present embodiment includes a process A that collects information A about user behavior online, and information B about user behavior for one or more events held offline by users and hosts. is collected, information A is analyzed to obtain online user activity A1, information B is analyzed to obtain user offline activity B1, and community activity is calculated from activity A1 and activity B1. A computer is caused to execute a C process for obtaining the degree C1.

FIG. 3 mainly describes the B process, and omits illustration of the A process.
Also, although not shown, a display unit for displaying the obtained activity level C1 of the community may be used. A display etc. are mentioned as an example of a display part. The obtained community activity level C1 may be transmitted to another terminal.

Here, an example in which the environment information D is used will be described. The community X in the above example will be described as an example. Assume that an offline event in community X, here a live music performance by a performing band, is held. In this example, the sensor 12 was installed in the hall as shown in FIG. 3 to measure the temperature before and after the live music performance.

However, during the music live, we did not change the air conditioning settings in the venue. Also, in order to prevent the oxygen concentration in the venue from dropping, we tried to ventilate appropriately. In this way, when we measured how the temperature inside the venue changes without changing the air conditioning settings in the venue and with moderate ventilation, without holding an event in advance, it took about 3 hours. Even if it passed, the change was within ±1°C. The temperature in the venue was measured in advance at the same time (afternoon) as the time of the live music performance, and the weather on the day the temperature was measured in advance and the day the music live was held was cloudy all day.

In this way, it is preferable to measure in advance how the temperature (environmental information D) in the event venue changes when the event is not held. This makes it possible to exclude factors other than the user from changes in the environment information D within the event venue when the event is held.

When the temperature inside the venue was actually measured before and after the live music performance, the temperature inside the venue was 20°C at the start of the live music performance, and 24°C at the end of the live music performance.
In FIG. 3, the temperature in the hall measured by the sensor 12 is transmitted to the server 30 and used by the program 32 to obtain the activity level C1 of the community.

In the example shown here, it is assumed that the state shown in the first embodiment, that is, the state in which the numerical value of the activity level C1 of the community X is obtained. Note that the activity level C1 may be obtained after the measurement of the environmental information D is completed without being limited to this.
In the example shown in the first embodiment, the normalized activity level A3 is 20 points, the normalized activity level B3 is 20 points, and the community X activity level C1 is 40 points.

The temperature rose from 20° C. to 24° C. before and after the live music performance, and it is considered that the temperature in the venue rose due to the heat emitted by the users participating in the live music performance.
In addition, in the example of the music live shown here, the illuminance was set lower than that of a normal music live, and almost no electrical equipment was used. Therefore, in this example, it can be said that the devices used in the hall do not cause the temperature in the hall to rise.

The temperature before and after the start of the live music changed from 20°C to 24°C, and increased by 4°C. Using this information, the activity level C1 of the community X is obtained. The method of obtaining the activity level C1 of the community X may be changed as appropriate. For example, the normalized activity level B3 is corrected in consideration of the temperature rise.

In this example, first, the evaluation criteria for the environmental information D are set. For example, set as follows.
The temperature in the venue dropped by 5°C to 10°C: ×0.8
The temperature in the venue dropped by 1°C to 5°C: ×0.9
No change in temperature inside the venue: ×1.0
The temperature in the venue rose by 1°C to 5°C: ×1.1
The temperature in the venue rose by 5°C to 10°C: ×1.2
Note that "x" indicates multiplication. Also, in the example here, a change greater than ±10° C. is considered to be some kind of error and is excluded from the evaluation criteria.

In this example, the temperature in the venue has increased by 4° C., so the normalized activity level B3 is multiplied by “×1.1”. In the example of the community X, the normalized activity B3 is corrected to 22 points (=20 points×1.1), and the activity C1 of the community X can be obtained as 42 points (=20 points+22 points).

In the above example, the normalized activity level B3 is corrected using the environmental information D, but the present invention is not limited to this. The environment information D may be used for correction.

Also, when setting the evaluation criteria for the environment information D, it is preferable to consider the volume (m3) of the event venue, the number of users participating in the event, and the like. For example, when the population density in the event venue is high, the temperature inside the venue tends to rise, and when the population density is low, the temperature inside the venue does not easily rise.
For example, using the above example, when the population density is low and the temperature in the venue rises by 5°C to 10°C, the correction value “×1.4”, which is larger than “×1.2”, and so on.

In the present embodiment, in step D, the environmental information D is preferably measured after setting the air conditioning in the event venue to be constant. In this case, since it is possible to prevent changes in the venue due to air conditioning such as air conditioning, it is possible to analyze the activity level of the event participants more accurately, and to obtain the activity level C1 of the community more accurately.

In the above example, the temperature is measured at the start and end of the event, but the temperature is not limited to this, and the temperature may be measured at each hour from the start to the end of the event.
In this case, by measuring the temperature change over time, it is possible to consider the degree of excitement over time, and obtain information for determining how the event should proceed. In addition, after the event ends, information for examining the content of the event can be obtained, making it easier to improve the content of future events.

Further, in the above example, temperature was taken as an example of the environmental information D, but as described above, it may be other than temperature. For example, in the case of humidity, it is thought that the perspiration of the users who participated in the live music was promoted, and the humidity in the venue increased. Examples of evaluation criteria in this case are as follows.
Humidity in the venue has dropped by 5% or less: ×0.8
No change in humidity in the venue (less than 10% change): × 1.0
Humidity in the venue increased by 10-15%: ×1.1
Humidity in the venue increased by 15-30%: ×1.2

In addition, the oxygen concentration, the carbon dioxide concentration, and the like can also be similarly set as evaluation criteria and used when obtaining the activity level C1 of the community.
The type of event to which this embodiment can be applied is not particularly limited, but in the case of an event involving fire, such as a cooking class, the influence of factors other than the user on the environment information D is considered. preferably. For example, as described above, it is preferable to measure the environmental information D in advance without an event being held to exclude factors other than the user.
Also, in the case of events such as funerals, it may be difficult to generally determine whether the measurement of the environmental information D can be used to obtain the activity level C1 of the community. In this case, it is preferable to adjust the evaluation criteria to suit the event. Also, as can be said in common with other events, it is preferable to set evaluation criteria after holding similar events multiple times, acquiring data, and grasping trends.

(Fourth embodiment)
Next, another embodiment of the community activity measuring method according to the present invention will be described.
A description of the same items as in the above embodiment is omitted. In the third embodiment, the present embodiment acquires environment information also outside the event venue.

In this embodiment, step D measures the environmental information E outside the event venue every hour from the start to the end of the event, or measures the environmental information E outside the event venue at the start and end of the event, The information E is used to correct the environmental information D.

In the third embodiment described above, the weather may change during the event, and the environmental information in the event site may be affected by the weather. For example, the temperature in the event venue may rise as the temperature rises during the event. In addition, the humidity in the event venue may rise due to rain during the event.
According to this embodiment, it is possible to acquire environmental information in the event site without being affected by changes in the weather during the event, and to more accurately measure the activity level C1 of the community.

Like the environment information D, the environment information E includes, for example, temperature, humidity, illuminance, sound volume, oxygen concentration, carbon dioxide concentration, air volume, vibration, and the like. Among them, at least one of temperature and humidity is preferable.

FIG. 4 shows a schematic diagram for explaining this embodiment.
FIG. 4 is a schematic diagram similar to FIG.
As the sensor provided outside the event site 15, the same sensor as the sensor provided inside the event site 15 can be used.
The installation location can be changed as appropriate, but considering that sunlight does not directly enter the interior of the event venue 15, it is preferable to install it outside the event venue 15 in the shade.

In this embodiment, an example of the community X in the third embodiment will be described.
In the above example, when the temperature inside the event hall was measured, it was 20° C. at the start of the event and 24° C. at the end of the event. When the outside temperature was measured by the sensor 12 outside the event venue, it was 20°C at the start of the event and 22°C at the end of the event.
In the above example, the day on which the event was held was cloudy all day, but in this example, it is assumed that the weather cleared during the event and the temperature outside the event site rose.

Here, it is preferable to investigate in advance how the temperature inside the event venue changes due to the temperature change outside the event venue. As a result of measurement using the sensor 12, in the event venue of this example, when the outside temperature rose by 2°C, the temperature inside the venue rose by 1°C.

Considering this, 1°C of the temperature rise of 4°C inside the event venue is due to the temperature change outside the event venue, so the temperature rise inside the event venue can be 3°C. After all, when compared with the evaluation criteria, it corresponds to "x1.1" as in the above example, and the activity level C1 of the community X can be obtained as 42 points.
In addition to temperature, humidity, oxygen concentration, and the like can also be used in the same manner.

(Fifth embodiment)
Next, another embodiment of the community activity measuring method according to the present invention will be described.
A description of the same items as in the above embodiment is omitted.

In the present embodiment, a community that serves as an indicator of how much the community has developed is based on the community activity level C1 obtained by the community activity level measurement method described above and the time since the community was formed. Seeking maturity.

FIG. 5 shows a diagram for explaining this embodiment. FIG. 5 shows an example in which the vertical axis represents the activity level C1 of the community and the horizontal axis represents the time elapsed since the formation of the community.
In FIG. 5, the development stages of the community are divided into groups (A) to (E).
The development stages of such a community are also called (A) latent, (B) collusion, (C) maturity, (D) maintenance and improvement, and (E) transformation (see the book "Community of Practice "reference).

As illustrated, the activity level C1 of the community changes with the passage of time from the formation of the community. In the example shown here, the community, which was loosely connected at the beginning, increased in activity over time (A), suddenly increased due to a certain trigger (B), and then gradually increased again (C). . After further rising, it maintains a similar level (D) and gradually declines (E).

In this way, by using the activity level C1 of the community and the time since the community was formed, it is possible to determine how much the community has developed and what development stage it is in. That is, it is possible to obtain the maturity level of the community.

By obtaining the degree of maturity of a community, it is possible to make a more accurate judgment as to how to approach the community. For example, for a community at the stage of (A), a user (member of the community) performs an operation that makes the community aware of the community, thereby increasing the activity level of the community. In addition, for example, for the community at the stage of (B), an operation is performed to show that knowledge sharing in the community is useful, and for the community at the stage of (C), an understanding of the community is performed. For communities at stage (D), operate to deepen; for communities at stage (E), operate to make the atmosphere and intellectual focus of the community vibrant and engaging. For example, an operation that determines whether to widen or narrow the boundaries of the community may be performed. These are merely examples, and are not limited to these.

In addition, the maturity level of a community can also be said to be an index representing the depth of the user's relationship in the community. The depth of a user's relationship is the degree to which the user participates in the community. For example, if the community is more mature, the users of the community are It can be said that they are deeply related to the community. Such a state can also be referred to as being related in a core group state. Due to the difference in maturity, it is also called an active group that is more loosely related than the core group, a peripheral group that is more loosely related, and the like.

10 User 12 Sensor 15 Event Venue 20 Entry Detection Means 22 NPS Measuring Device 30 Server 32 Program 40 Network

Claims (10)

An information processing method for measuring the activity level of a community , which is a group of users who interact about a specific purpose or topic, and which is executed by a computer ,
A step of collecting information A about the user's behavior in a place where the user interacts online;
A step B of collecting information B about the user's behavior with respect to one or more events held offline by the user and/or a host who organizes or manages at least part of the community;
The activity level A1 of the user online is determined using the information A, the activity level B1 of the user offline is determined using the information B, and the activity level of the community is obtained from the activity level A1 and the activity level B1. and a C step of obtaining C1 ,
The information B includes the participation status of the event,
In the step C, the activity level B1 of the user is obtained based on the participation difficulty level of the event and the participation status;
Information processing methods . The information A is one or more selected from the following (a1) to (a6), and the information B is one or more selected from the following (b1) to (b3). information processing method .
(a1) Stay status regarding how long the user stayed on which page in a plurality of web pages that make up the place where the user interacts online (a2) A plurality of places that make up the place where the user interacts online (a3) Transition status regarding which page the user transitioned from to the place where the user interacts online (a4) Online the above In a plurality of web pages that constitute a place for users to interact, transition status within a web page regarding which page to which page was transitioned (a5) Provided by the user or the host in the place where the user interacts online Contents and/or frequency of evaluations issued by said users to articles, comments, announcements, advertisements or other information related to articles, comments, announcements, advertisements or other information (a6) Articles provided by said users or said hosts in places where said users interact online , the user-generated NPS value (Net Promoter Score) for comments, announcements, advertisements or other information;
(b1) the NPS value (net promoter score) of the event evaluated by the users who participated in the event;
(b2) the frequency with which the user participates in the event; (b3) setting the difficulty of participation in the event based on conditions selected from the day of the week, time, place, scale, participation fee, and number of times the event is held; Event participation status obtained by quantifying the frequency of participation of the user with respect to the difficulty level 3. The information processing method according to claim 2, wherein said step C obtains the activity level C1 of said community by performing the following (a) to (g).
(a) For one or more items selected from the above (a1) to (a6), determine the evaluation criteria for each and obtain each score to obtain the activity level A1 of each of the users (b) The above (b1) ) to (b3) for one or more items selected from (b3), each score is determined after each evaluation criterion is determined to obtain the activity level B1 of each of the users (c) The activity level A1 of each of the users is calculated (d) averaging within the community using the activity level B1 of each of the users to obtain an average activity level B2 (e) calculating the average activity level A2 (f) standardize the average activity B2 and obtain the normalized activity B3 (g) the normalized activity A3 and the normalized activity B3 are added together to obtain the activity level C1 of the community. The step A collects information A about the user's online behavior and collects user information of the user,
4. The information processing method according to any one of claims 1 to 3, wherein said step C uses said information A and said user information to determine said user's online activity level A1. measuring the environmental information D in the event venue every hour from the start to the end of the event, or measuring the environmental information D in the event venue at the start and end of the event;
5. The information processing method according to any one of claims 1 to 4, wherein said step C further uses said environment information D to determine the degree of activity C1 of said community. 6. The information processing method according to claim 5, wherein said step D measures said environment information D after setting air conditioning in said event site to be constant. The D step measures the environmental information E outside the event venue every hour from the start to the end of the event, or measures the environmental information E outside the event venue at the start and end of the event, 7. The information processing method according to claim 5, wherein the environment information D is corrected using the environment information E. The degree of activity C1 of the community obtained by the information processing method according to any one of claims 1 to 7 and the time since the community was formed serve as indicators of how far the community has developed. A community maturity measurement method that determines the maturity of a community . A community activity level measurement program for measuring the activity level of a community when a group of users interacting about a specific purpose or topic is defined as a community,
causing at least one computer to execute each step of the information processing method according to any one of claims 1 to 8,
program. An information processing system configured to execute a program such that each step of the information processing method according to any one of claims 1 to 9 is performed.

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