JP2020077151A - Community activity measurement method, community maturity measurement method, and community activity measurement program - Google Patents

Abstract

To provide a material for judgement, allowing for a measurement of excitement of a community, for determining a mode in which product notification and sales to a community, event notification and solicitation, and provision and reception of other information are performed.SOLUTION: The community activity measurement method for measuring activity of a community that is a group of users who interact with each other about a specific purpose or topic includes the steps of: collecting information A about a user's behavior in a place where users interact online; collecting information B about user's behavior for one or more events held offline by a host that at least partially hosts and/or manages users and/or communities; and calculating user's activities A1 online using the information A, calculating user's activities B1 offline using the information B, and calculating activities C1 from the activities A1 and the activities B1.SELECTED DRAWING: Figure 1

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, live and spend their lives while belonging to one or more communities. The perspective of what the community is like, for example, whether it's rising or not, is very important in choosing an approach to that community. For example, when a company sells a product to a lively community, once the product is sold to one member, it may be spread to other members by word of mouth. In addition, it becomes easy to obtain information such as ideas for commercialization from groups that actively exchange opinions.

  In determining the degree of excitement of the community, if the community communicates with each other only by actually meeting, whether the opinions are actively exchanged, the content of the opinions, and the facial expressions of the members By observing the atmosphere of the members and the frequency of meetings, it is possible to judge 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 have come to browse information and exchange opinions online. Therefore, it is very difficult to determine what kind of situation the community is in, for example, when it is getting excited, because it is necessary to consider the behavior online and the behavior offline.

Patent Document 1 discloses an exchange promotion device that conducts a questionnaire using a mobile terminal owned by a visitor at an event venue and promotes interaction between the visitors through the questionnaire.
Patent Document 2 discloses an evaluation aggregation device that aggregates numerical values relating to the evaluation of goods or services based on sentences collected from a website.

  However, even with such technology, it is difficult to judge the degree of excitement of the community. If it is not clear how exciting the community is, it will be difficult to make effective decisions about how to approach the community. For example, it may be difficult to determine how to promote a product to the community, and in some cases, the salesperson may have different opinions. In addition to this, the information for determining how to provide information becomes insufficient.

JP, 2017-182515, A JP, 2015-36923, A

  INDUSTRIAL APPLICABILITY The present invention is capable of measuring the degree of excitement of a community, and in what mode the product is announced or sold, the service is announced or provided, the event is announced or solicited, and other information is provided or received. It is an object of the present invention to provide a method for measuring the activity level of a community, which can provide a judgment material for deciding the activity.

  In order to solve the above problems, the present invention is a method for measuring the activity of a community, which measures the activity of the community when a group of users who interact with each other for a specific purpose or topic is defined as a community, and the method is online. A step of collecting information A about the user's behavior in a place where the user interacts, and one or more held offline by the user and / or a host that hosts or manages the community. B step of collecting information B regarding the behavior of the user with respect to the inventing, and the activity A1 of the user online using the information A, and the activity B1 of the user offline using the information B, C step of obtaining the activity degree C1 of the community from the activity degree A1 and the activity degree B1.

  According to the present invention, it is possible to measure the degree of excitement of a community, and to determine how to announce and sell products to the community, notify and solicit events, and provide and receive other information. Can provide judgment information.

It is a flow chart for explaining an example of a community activity measuring method. It is a flowchart for demonstrating the other example of the activity measuring method of a community. It is a schematic diagram for demonstrating an example which collects the environmental information and other information in an event site. It is a schematic diagram for demonstrating the other example which collects the environmental information and other information in an event site. It is a figure for explaining 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. Note that the present invention is not limited to the embodiments described below, and other embodiments, additions, modifications, deletions, and the like can be modified within the scope of those skilled in the art, and any mode Also, as long as the action and effect of the present invention are exhibited, it is included in the scope of the present invention.

  The present invention is a method for measuring the activity of a community, which is a method for measuring the activity of the community when a group of users who interact with each other for a specific purpose or topic is defined as a community. A step of collecting information A regarding user behavior, and the user behavior regarding one or more events held offline by the user and / or a host that hosts and / or manages the community. The step B of collecting information B, and the activity A1 of the user online using the information A, the activity B1 of the user offline using the information B, the activity A1 and the activity C step of obtaining the activity C1 of the community from B1.

(First embodiment)
<Flowchart>
First, an outline of a processing flow of an embodiment of the method for measuring the activity level of a community according to the present invention will be described. FIG. 1 shows an example of the flowchart.
In step S101, information A about the user's behavior online is collected (step A).
In step S102, information B regarding the user's behavior with respect to one or more events held offline is collected by the user and / or a host that hosts or manages a place where the users interact (step B). ..
Either S101 or S102 may be performed first.
In step S103, the information A is analyzed to determine the online user activity A1, and the information B is analyzed to determine the offline user activity 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. In FIG. 2, S103 of FIG. 1 is different. In FIG. 1, the user activity A1 and the user activity B1 are obtained in S103 after S101 and S102, but the invention is not limited to this. As shown in FIG. 2, the information A is collected in S201. Later, the activity A1 of the user may be obtained in S202. Further, after collecting the information B in S203, the activity level B1 of the user may be obtained in S204.
Either activity A1 or activity B1 may be calculated first.

<More detailed explanation>
Next, the method for measuring the activity level of the community according to this embodiment will be described in detail.

  In this embodiment, a group of users who interact with each other about a specific purpose or topic is defined as a community. The type of community is not particularly limited. For example, a dinner party, a reading party, a study session, a discussion about specific matters, a sports gathering, a hobby gathering, a drinking gathering, a company / university / school synchronization meeting / OB meeting / OG meeting, housewife These include gatherings, neighborhood gatherings, volunteers, off-clubs, fan clubs, workplace and school groups.

  The purpose and topic are not particularly limited. Politics, economy, daily life, lifestyle, hobbies, tastes, academics, arts, music, sports, etc. The purpose or topic does not have to be conscious of each user of the community (also referred to as participants or members). Further, the purpose or topic may be one or may be plural.

The scale of the community (the number of users participating) will be changed accordingly. It depends on the type of community and time. When the community is formed, the number of people is small, and the number of people who participate in the community increases as time goes by.
The age of the users that make up the community is not particularly limited.

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

In step A, information A is collected.
The information A is information about the behavior of the user in a place where the user interacts online.
As "a place where users interact with each other online", it is possible to provide information such as articles, comments, and advertisements where you can browse information such as articles, comments, and advertisements online using computer technology. Places can be mentioned. For example, a home page, a chat room, a bulletin board, a blog, an SNS (social networking system), etc. can be mentioned.

  The means for accessing the place where the users interact is not particularly limited, and examples thereof include personal computers, smartphones, tablet terminals, and the like.

  The means for collecting the information A can be appropriately changed and is not particularly limited. For example, a program for collection may be created in an online server, or GoogleAnalytics or the like may be used.

Examples of the information A include the following (a1) to (a6).
(A1) A plurality of web pages constituting the place where the user interacts online, and a stay status regarding which page and how long the user stayed (a2) A plurality of places configuring the place where the user interacts online In the web page of, the access status regarding how often and which page was accessed (a3) the transition status regarding which page the user has transitioned from online to the place where the user interacts (a4) online In a plurality of web pages constituting a place where the user interacts, a transition status in the web page regarding which page transits to which page (a5) is provided from the user or the host in the place where the user interacts online. Content and / or frequency of evaluation issued by the user for articles, comments, announcements, advertisements or other information (a6) Articles provided by the user or the host in a place where the user interacts online , NPS value issued by the user for comments, announcements, advertisements or other information (net promoter score)

In step B, information B is collected.
The information B is information about the behavior of the user of the community and / or the user regarding one or more events held offline by the host. A host is a person or a group that performs at least a part of hosting or managing a community, and is also called a coordinator or the like.

  In the present embodiment, the term “event” refers to a group of people held offline. For example, live music, concerts, concerts, movies, briefings, seminars, seminars, sports, athletics, plays, choruses, conversations, performances of tricks, magic tricks, karaoke competitions, shogi competitions, go competitions, reading competitions, reviews 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. .. Above all, it is preferable to use the community activity measuring method of the present embodiment for music live, and it is possible to measure more accurately.

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

  The time, the number of times, etc., at which the event is held are not particularly limited, and may be, for example, once a year or several times a year.

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

Examples of the information B include (b1) to (b3) below.
(B1) NPS value (net promoter score) of the event evaluated by the user who participated in the event
(B2) frequency with which the user participates in the event (b3) setting the difficulty level for participation in the event according to conditions selected from the day of the week, time, place, size, participation fee and number of times the event is held, Event participation status calculated by quantifying the frequency with which the user participated for the difficulty level

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

In step C, the activity C1 of the community is obtained by performing the following (a) to (ki), for example.
(A) With respect to one or more items selected from (a1) to (a6), each score is calculated after defining evaluation criteria, and each activity A1 of the user is calculated. (B) The (b1) ) To (b3), one or more items selected from each of the items are set to an evaluation standard, and each score is obtained to obtain the activity B1 of each of the users (c) The activity A1 of each of the users is calculated. Using the averages in the community to obtain the average activity A2 (d) Using the respective activities B1 of the users in the community to obtain the average activity B2 (e) The average activity A2 Is standardized to obtain a standardized activity A3 (f) The average activity B2 is standardized to obtain a standardized activity B3 (g) The standardized activity A3 and the standardized activity B3 Is added to make the community activity C1.

<Specific example 1: Community X>
Next, as a specific example 1, an example of a case in which the activity level of the community is calculated for the community X will be described. It should be noted that the example shown below is an example in the present embodiment, and the present invention is not limited to this.
In the following example, the users in the community X are Kou, Otsu, and Hei.

(A) With respect to one or more items selected from (a1) to (a6), each score is calculated after defining evaluation criteria, and each activity A1 of the user is calculated. (B) The (b1) ) To (b3), one or more items are defined, the evaluation criteria are set, the scores are calculated, and the activity B1 of each of the users is calculated.

  Here, detailed examples of the evaluation criteria are omitted. An example of the 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 index: Activity A1: 25 points, activity level B1: 50 points

(C) Using each activity A1 of the user to average the activity within the community to obtain an average activity A2 (D) Using each activity B1 of the user to average the activity within the community Degree B2

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

(E) The average activity A2 is standardized to obtain the standardized activity A3. (F) The average activity B2 is standardized to obtain the standardized activity B3.

  The normalization referred to here is to correct the numerical value in order to add the average activity A2 and the average activity B2.

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

In the case of such an example, with respect to the average activity A2, the average activity A2 becomes the normalized activity A3. That is,
Normalized activity A3 = average activity A2 x (highest point of activity A1 / highest point of activity A1)
Becomes

The standardization is not limited to the above, and the numerical value of the activity A1 may be corrected based on the highest point of the activity B1. In this case, for example,
Normalized activity A3 = average activity A2 x (highest point of activity B1 / highest point of activity A1)
Normalized activity B3 = average activity B2 x (highest point of activity B1 / highest point of activity B1)
It can be expressed as.

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

(G) The standardized activity A3 and the standardized activity B3 are added together to obtain the community activity C1.

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

As described above, according to the present embodiment, it is possible to obtain the activity level of the community, and to determine how high the activity level of the community is.
When the degree of activity of the community is high, it can be expressed as "the vitality of the community" or "the community is lively".
On the other hand, when the activity level of the community is low, it can be expressed as "the community is not vigorous" or "the community is not active".
Therefore, according to the present embodiment, it is possible to measure the degree of excitement of the community.

  In addition, by measuring the activity level of a community, it is possible to decide how to announce or sell products, notify or provide services, notify or solicit events, or provide or receive other information to the community. The judgment material of can be provided.

For example, when the activity level of the community is high, it can be considered that selling the product in the community will likely lead to purchase, so that it is possible to make a decision such that notice should be given infrequently and infrequently. Also, if you sell a product to one user and get a high evaluation, it is likely that the product's awareness will spread through word-of-mouth, so we will actively sell products and services to such communities. It is possible to judge that it is effective to make announcements.
On the other hand, if the activity of the community is low, it is considered that it is difficult for word of mouth to spread even if the product is sold in the community, so it is necessary to proactively notify each user as often as possible. It can be connected to the judgment that there is.

In addition, for example, when the activity of the community is high, it is possible that opinions are actively exchanged within the community, the participation rate of the event is high, etc. It is possible to obtain information with good freshness that is close to real time. Further, the information acquired from one user is likely to be the information applicable to other users in the community, and more useful information can be obtained. Therefore, it is possible to obtain information on how many users need to obtain the information. Also, if the information is provided to one user, it can be judged that it is easy to be transmitted to other users.
As described above, by measuring the degree of activity of the community and the degree of excitement of the community, it is possible to obtain the judgment material for deciding how to receive the information and how to receive the information.

Further, according to the present embodiment, since it is possible to measure the activity level of the community, it is possible to perform a certain operation (approach) with respect to the community with a low activity level so as to increase the activity level of the community. Material can be provided.
The operation for the community can be appropriately changed according to the situation and is not limited. It can be changed depending on the type of community, the value of the degree of activity of the community, and the degree of excitement of the community.

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

  The operation for the community may be determined in consideration of the numerical values of the items (a1) to (a6) and (b1) to (b3). For example, when the value of the stay status of (a1) is low, it is effective to further enhance the content in the place where the community interacts online.

According to the present embodiment, it is possible to obtain an excellent effect that it is possible not only to judge whether the community activity is high or low but also to judge quantitatively how high or low the activity is. ..
In the past, humans individually considered information such as user comments and event participation status to infer the degree of excitement of the community, but according to the present embodiment, it is possible to make a quantitative determination as described above. Therefore, it is possible to prevent adverse effects such as different judgment results depending on the evaluator.

  It is not necessary to judge whether the activity level of the community is high or low based on the value of the activity level of the community. Judgment criteria vary depending on the type of community. Even if the numbers of the activities of the communities are the same, in some cases, it can be determined that one community is active but one community is not active. A coordinator or a member in the community may determine whether the activity of the community is high or low.

<Specific example 2: Community Y>
The activity level of the community obtained by using the measurement method of the present embodiment may be considered only in that community, but the activity level of the community may be used when comparing the communities.
Hereinafter, regarding other examples of the community, an example of obtaining the activity C1 of the community Y in the same manner as the example of obtaining the community X will be described.
Note that, here, for convenience, the users are the same as the community X, ie, users A, B, and 丙, but the users need not be the same in the communities X and Y.

User A ... Activity A1: 10 points, Activity B1: 35 points User B ... Activity A1: 15 points, Activity B1: 55 points User index ... Activity A1: 20 points, Activity level B1: 60 points Average activity A2 ... 15 points (= (10 points + 15 points + 20 points) / 3 people)
Average activity B2 ... 50 points (= (35 points + 55 points + 60 points) / 3 people)
Activity A1 maximum point: 100 points Activity B1 maximum point: 250 points Normalized activity A3: 15 points (= 15 points x (100 points / 100 points))
Normalized activity B3: 20 points (= 50 points x (100 points / 250 points))
Community Y activity C1 ... 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 the degree of excitement of a plurality of communities with one index, and thus it is possible to provide an excellent effect that it is possible to provide materials for determining how to approach the community. can get.

  When comparing the activities among the communities, it is preferable that the evaluation items (for example, (a1) to (a6) and (b1) to (b3) described above) be the same among the communities. This improves the accuracy of the comparison. For example, when the above-mentioned community X is evaluated in (a1) to (a4) and the above-mentioned community Y is evaluated in (a1) to (a3), the community X is the community in order to match the evaluation items. It suffices to consider (a1) to (a3) according to Y.

<About evaluation criteria>
In the above examples of the communities X and Y, detailed examples of the processes of (A) and (A) are omitted. Here, a detailed example of the processes (a) and (a) will be described.

  When obtaining each activity A1 of each user, for example, one or more items (also referred to as evaluation items) selected from the above (a1) to (a6) are set with respective evaluation scores, and then the respective scores are set. Then, the activity A1 of each of the users is calculated. When obtaining the activity A1 of the user, it is preferable to set the evaluation criteria so that each evaluation item can be summed. For example, the evaluation criteria are set so that the maximum value of each evaluation item is the same or similar.

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

(A1) Stay status regarding which page and how long the user stayed in a plurality of web pages that constitute a place for users to interact online: less than 1 hour per day: 1 point 1 hour to 2 hours per day : 3 points 2 hours to 3 hours per day: 5 points 3 hours to 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 they may be appropriately changed so as not to contradict. For example, the criteria of 3 points may be set to less than 2 hours, and the criteria 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 frequently and which page is accessed on a plurality of 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 to 30 times per week: 5 points 30 to 40 times per week: 7 points 50 times or more per week: 10 points

(A3) Transition status regarding which page the user transitions to where the user interacts online: Transition from Google: 3 points Transition from a site that has a search engine other than Google: 4 points Transition from following links on non-sites: 5 points Transition from SNS: 8 points Transition from e-mail magazine: 9 points Transition following advertisements: 10 points

(A4) Transition status in a web page regarding which page is transited to which page among a plurality of web pages constituting a place for users to interact online: Transition from P page to Q page: 1 point Q page to R Transition to page: 3 points Transition from R page to S page: 5 points Transition from S page to T page: 7 points Transition from T page to U page: 10 points In addition, the above P to T pages are online It is a web page that constitutes a place for users to interact with each other.

(A5) Content and / or frequency of evaluations issued by users for articles, comments, announcements, advertisements or other information provided by users or hosts in places where users interact online. Frequently critical comments were made to: 1 point A few critical comments were made to the published articles: 2 points A few unfavorable and unfavorable evaluations were made to the published articles Yes: 4 points Frequently non-critical or unfavorable reviews of published articles: 5 points Poorly rated several published articles: 7 points Multiple published articles Frequent favorable evaluations for articles: 10 points Note that the definitions of “frequently” and “little” above are arbitrarily determined.

(A6) NPS value (net promoter score) issued by the user for articles, comments, announcements, advertisements or other information provided by the user or the host in a place where the users interact online.
NPS is an index that is also called the customer recommendation level. "How likely are you to recommend this company (or this product, service, brand) to close friends and colleagues? 1 to 10 points Please ask the target person about the content such as "Please give me a score." Since the NPS value is evaluated from 1 to 10, the NPS value may be used as it is.

  After setting the evaluation criteria as described above, the activity A1 of the user can be obtained by summing the scores of each evaluation item.

  When determining each activity B1 of the user, for example, for each one or more items (also referred to as evaluation items) selected from the above (b1) to (b3), an evaluation criterion is determined, and then each score is calculated. Then, the activity B1 of each of the users is calculated. Similar to the activity A1 of the user, when determining the activity B1 of the user, it is preferable to set the evaluation criteria so that each evaluation item can be summed. For example, the evaluation criteria are set so that the maximum value of each evaluation item is the same or similar.

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

(B1) NPS value (net promoter score) of the event evaluated by the users who participated in the event
Since the NPS value is evaluated from 1 to 10, the NPS value may be used as it is.

(B2) Frequency of user participation in the event Participation rate is less than 10%: 1 point Participation rate is 10% to 30%: 3 points Participation rate is 30% to 50%: 5 points Participation rate is 70% to 90%: 7 points Participation rate 90% or more: 10 points

(B3) The difficulty level for participation in the event is set according to the conditions selected from the day of the week, time, place, size, participation fee, and the number of times the event is held, and the frequency of user participation in the difficulty level is quantified. Required Event Participation Day, Time, Place, Size, Participation Fee, and Number of Events will be considered as follows, for example.

Day of the week: Weekdays or holidays Time: Morning, afternoon, day / evening / night, midnight Location: Near / far from user's residence, near / far from station, easy to reach Scale: Large Small or small Participation fee: High or cheap Number of times: Is it held many times a year, is it held few times?

  The reason for considering such a condition is, for example, that the activity is high when the user participates in an event that is difficult for the user to participate. For example, if you participate in an event that is held on a certain day after taking a break, or if you participate in an event that is held at a time when it is hard to attend, such as midnight, it will be held in a place far from the user's residence. It can be said that the activity is high when participating in an event with a high participation fee, when participating in an event with a high participation fee, or when participating in an event that is held less frequently a year.

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

  The setting of the difficulty level can be appropriately changed 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 a weekday morning, can be set to a high degree of difficulty. For example, an event (2) with a low participation fee, which is held near a station on a holiday afternoon, can be set to a low degree of difficulty.

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

  Note that the difficulty is not limited to being divided into large and small, and for example, the difficulty may be divided into large, medium, and small, or may be further divided. The number of times varies depending on the type of event, etc., and may be changed accordingly.

As described above, the activity A1 and the activity B1 can be determined by determining each score after setting the evaluation standard for each evaluation item.
In the above example, the information A includes (a1) to (a6) and the information B includes (b1) to (b3), but these are used as preferred examples in the present embodiment. , Not limited to these. In addition, items and the like that can be conceived by those skilled in the art may be appropriately added.

(Second embodiment)
Next, another embodiment of the community activity measuring method according to the present invention will be described.
Descriptions of matters similar to those in the above-described embodiment will be omitted.

  In the present embodiment, the step A collects information A about the behavior of the user online and also collects user information of the user. In step C, the online activity A1 of the user is obtained using the information A and the user information.

  User information includes, for example, gender, age, age, access source area, language used, device to access, visit status (whether the page is new or repeater), access authority (page You can browse, you can post comments, you can post articles, you can post images, you have administrator rights). In addition, Facebook has a mechanism such as a secret fan group, and information about whether or not it belongs to the fan group can be given. In addition, items that can be measured by Google Analytics are listed.

The method of obtaining the online activity A1 of the user using the information A and the user information can be appropriately changed.
An example will be described by citing the example of the community X shown in the first embodiment. In this example, the activity A1 obtained from the information A is corrected according to the user information, for example. In community X, the user A, B, and Hei's activity levels A1 were 15, 20, and 25, respectively. For example, for men, the activity A1 is set to "x1.1", and for women, the activity A1 is set to "x1.2". In addition, here, "x" indicates multiplication.

The reason why the degree of correction of the activity level A1 is different depending on the gender is, for example, that the community X is a place to interact about topics for men, and when female users participate, they are more enthusiastic. The reason is.
In the above example, when the users A, B, and H are male, female, and male, the corrected activity A1 is 16.5 points, 24 points, and 27.5 points, respectively.
As in the present embodiment, the accuracy can be improved by obtaining the activity A1 of the user by using the user information.

In addition, it is possible to make corrections such as “× 1.1” for those in their 20s, “× 1.2” for those in their thirties, and “× 1.3” for those in their 40s. The value of such multiplication is also called a correction value or the like.
In addition, the correction value may be increased when accessing from a region other than the home country or accessing a page in a language other than the home language in the access source region or language used.
In addition, if the visit to the page is new, the correction value may be increased, or the correction value may be changed depending on the access authority.

(Third Embodiment)
Next, another embodiment of the community activity measuring method according to the present invention will be described.
Descriptions of matters similar to those in the above-described embodiment will be omitted.

  The method for measuring the activity level of the community according to the present embodiment measures the environmental information D in the event venue every hour from the start to the end of the event, or measures the environmental information D in the event venue at the start and end of the event. It further has a D step. Further, the process C in this embodiment uses the environmental information D to obtain the activity 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 a user 10, a sensor 12, an event venue 15, an entrance detecting means 20, an NPS measuring device 22, a server 30, a program 32, and a network 40.

The sensor 12 measures the environmental information D in the event venue 15.
Examples of the environmental information D include temperature, humidity, illuminance, volume, oxygen concentration, carbon dioxide concentration, air volume, vibration, and the like. Among them, at least one of temperature and humidity is preferable.
Further, a plurality of pieces of environmental information, for example, temperature and humidity may be measured, or a sensor for measuring temperature and a sensor for measuring humidity may be separately installed.

The sensor 12 is preferably 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 appropriately changed. When a plurality of units are installed, the average value may be obtained using the environment information D measured for each.

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

The entrance detection means 20 detects the entrance of the user 10.
As the entrance detecting means 20, a device capable of recognizing a face may be used, or a device capable of inputting an identification number (alphanumeric characters or the like) unique to the user 10 may be used. Further, the host person may recognize the user 10 at the reception of the event and the person in charge may input the device. Examples of such devices include personal computers, smartphones, tablet terminals, and the like.

  By using the entrance detecting means 20, it is possible to grasp which user participated in the event. Thereby, with respect to the above information B, (b2) the frequency with which the user participates in the event and (b3) the event participation status can be obtained.

  Instead of providing the entrance detection means 20 on the event management side, it is possible to grasp which user participated in which event using, for example, a mobile phone or a smart phone owned by the user.

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

  In the illustrated example, one NPS measuring device 22 is installed in the event venue 15, but the number is not limited to this and can be changed as appropriate. For example, a plurality of NPS measuring devices 22 may be installed, and each NPS measuring device 22 may be prepared for each user. In addition, the NPS value may be acquired using a mobile phone, a smartphone, or the like owned by the user. In addition to this, without providing the NPS measuring device 22, after the event ends, the user who participated in the event may input the NPS value on the online site during the day or at a later date, or the NPS value may be input to a mobile phone, a smartphone, or the like. The NPS value may be input by a mail function, a telephone, an internet access function, or the like.

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

The server 30 receives information from the sensor 12, the entrance detecting means 20, and the NPS measuring device 22. The server 30 stores a community activity measurement program (program 32) of the above embodiment or this embodiment.
The community activity measurement program of this embodiment collects information A about user behavior online and information B about user behavior for one or more events held offline by the user or host. B process for collecting information and analyzing information A for online activity A1 of the user, analyzing information B for offline user activity B1, and determining activity A1 and activity B1 for community activity The computer is caused to execute the C processing for obtaining the degree C1.

In FIG. 3, the B process is mainly described, and the A process is not shown.
Although not shown, a display unit that displays the activity level C1 of the requested community may be used. Examples of the display unit include a display. You may make it transmit the activity degree C1 of the obtained community to another terminal.

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

  However, the air conditioning settings in the venue were not changed during the live music. Also, in order to prevent the concentration of oxygen in the venue from decreasing, adequate ventilation was provided. In this way, when the ventilation of the venue is appropriately changed without changing the setting of the air conditioning in the venue, how the temperature in the venue changes was measured without an event in advance, and it took about 3 hours. Even after the passage, the change was within ± 1 ° C. In addition, the time zone where the temperature inside the venue was measured in advance was the same time zone (pm) as the time when the music live was held, and the day when the temperature inside the venue was measured in advance and the weather on the day when the music live was held It was cloudy all day long.

  As described above, it is preferable to measure how the temperature (environmental information D) in the event venue changes when the event is not held in advance without the event. This makes it possible to eliminate factors other than the user with respect to changes in the environmental information D in the event venue when the event is held.

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

In the example shown here, the state shown in the first embodiment, that is, the state in which the numerical value of the activity C1 of the community X is obtained is assumed. The activity C1 is not limited to this, and the activity C1 may be obtained after the measurement of the environmental information D is completed.
In the example shown in the first embodiment, the normalized activity A3 is 20 points, the normalized activity B3 is 20 points, and the activity C1 of the community X is 40 points.

The temperature rose from 20 ° C to 24 ° C before and after the start of the music live, which is considered to be due to the heat emitted by the users who participated in the music live, causing the temperature inside the venue to rise.
In addition, in the example of the music live shown here, the illuminance was set to be smaller than that of the normal music live, and the electric devices used were hardly used. Therefore, in this example, it can be said that the equipment used in the venue does not cause the temperature in the venue to rise.

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

In this example, first, the evaluation standard in the environmental information D is set. For example, set as follows.
The temperature inside the venue dropped by 5 to 10 degrees Celsius: × 0.8
The temperature inside the venue dropped by 1 ° C to 5 ° C: × 0.9
The temperature inside the venue has not changed: × 1.0
The temperature inside the venue increased by 1 to 5 degrees Celsius: × 1.1
The temperature in the venue has risen by 5 ° C to 10 ° C: × 1.2
In addition, "x" indicates multiplication. Further, in this example, a change larger than ± 10 ° C. is considered to have some kind of error and is excluded from the evaluation standard.

  In this example, since the temperature inside the venue has risen by 4 ° C., the normalized activity 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 calculated as 42 points (= 20 points + 22 points).

  In the above example, the normalized activity B3 was corrected using the environmental information D, but the invention is not limited to this. For each activity B1 and average activity B2 of the user, The environmental information D may be used for correction.

Further, when setting the evaluation criteria in the environmental information D, it is preferable to consider the volume (m ³ ) 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 easily rises, and when the population density is low, the temperature inside the venue hardly rises.
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 is “× 1.4”, which is larger than “× 1.2”. There are things to do.

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

Further, in the above example, the temperature is measured at the start and the end of the event, but the present invention is not limited to this, and the temperature may be measured every time from the start to the end of the event.
In this case, by measuring the temperature change for each time, it is possible to consider the degree of excitement for each time, and it is possible to obtain information for determining how the event should proceed. Further, after the event ends, information for examining the content of the event can be obtained, which makes it easy to improve the content of the event in the future.

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

In addition to this, evaluation criteria can be similarly set for oxygen concentration, carbon dioxide concentration, etc., and can be used when the community activity C1 is obtained.
The type of event to which the present embodiment can be applied is not particularly limited, but in the case of an event such as a cooking class that deals with fire, the influence of factors other than the user on the environmental information D is considered. Preferably. For example, as described above, it is preferable to measure the environmental information D in a state where no event is performed in advance and eliminate factors other than the user.
In the case of an event such as a funeral, it may be difficult to determine whether the measurement of the environmental information D can be used to obtain the activity C1 of the community. In this case, it is preferable to adjust the evaluation criteria to suit the event. Further, as is common to other events, it is preferable to set the evaluation standard after performing the same event a plurality of times to acquire data and grasp the tendency.

(Fourth Embodiment)
Next, another embodiment of the community activity measuring method according to the present invention will be described.
Descriptions of matters similar to those in the above-described embodiment will be omitted. In the present embodiment, in the third embodiment described above, environmental information is also acquired outside the event venue.

  In the present embodiment, the process D measures the environment information E outside the event venue every hour from the start to the end of the event, or measures the environment information E outside the event venue at the start and end of the event to determine the environment. The environmental information D is corrected using the information E.

In the third embodiment, the weather may change during the event, and the environmental information in the event venue may be affected by the weather. For example, the temperature may rise during the event, and the temperature in the event venue may rise. Also, it is possible that the humidity in the event venue will rise due to rain during the event.
According to the present 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 measure the activity level C1 of the community more accurately.

  Similar to the environment information D, the environment information E includes, for example, temperature, humidity, illuminance, 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 the present embodiment.
4 is a schematic diagram similar to FIG. 3, but the sensor 12 is also provided outside the event venue 15.
As the sensor provided outside the event venue 15, the same sensor provided inside the event venue 15 can be used.
Although the installation location can be changed as appropriate, it is preferably installed in the shade outside the event venue 15 in consideration of the fact that the sunlight does not directly enter the event venue 15.

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

  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. When measured using the sensor 12, in the event venue of this example, when the outside temperature increased by 2 ° C, the inside temperature of the venue increased by 1 ° C.

Considering this, of the temperature rise of 4 ° C. in the event site, 1 ° C. is due to the temperature change outside the event site, so the temperature rise in the event site can be 3 ° C. After all, when compared with the evaluation standard, it corresponds to “× 1.1” as in the above example, and the activity C1 of the community X can be calculated as 42 points.
In addition to the temperature, the humidity and oxygen concentration can be similarly used.

(Fifth Embodiment)
Next, another embodiment of the community activity measuring method according to the present invention will be described.
Descriptions of matters similar to those in the above-described embodiment will be omitted.

  In the present embodiment, a community serving as an indicator of how much the community has developed from the community activity C1 obtained by the community activity measuring method described above and the time since the community was formed. Seek the maturity level of.

FIG. 5 shows a diagram for explaining the present embodiment. In FIG. 5, the vertical axis represents the activity C1 of the community, and the horizontal axis represents the time elapsed from the formation of the community.
In FIG. 5, the stages of community development are divided into groups (A) to (E).
The development stage of such a community is also referred to as (A) latent, (B) collusion, (C) maturity, (D) maintenance / improvement, and (E) transformation (the book "Community of Practice"). "reference).

  As shown in the figure, the activity level C1 of the community changes with the passage of time from the formation of the community. In the example shown here, a community that was initially connected gradually increased in activity over time (A), and after a certain trigger, it rapidly increased (B) and then gradually increased (C). .. After rising further, it maintains a similar level (D) and gradually declines (E).

  As described above, by using the activity level C1 of the community and the time after the community is formed, it is possible to judge how much the community has developed and what kind of development stage it is. That is, the maturity level of the community can be obtained.

  By determining the maturity level of a community, it is possible to more accurately determine how to approach the community. For example, with respect to the community in the stage (A), the activity of the community can be increased by performing an operation in which the user (member of the community) is aware of the community. In addition, for example, for the community in the stage (B), an operation indicating that sharing of knowledge in the community is useful is performed, and for the community in the stage (C), understanding about the community is performed. For the community in the stage (D), which performs the deepening operation, for the community in the stage (E), which performs the operation to make the atmosphere and intellectual focus of the community vibrant and attractive. For example, the operation of deciding whether to widen or narrow the boundaries of the community can be mentioned. These are just examples and are not limited to these.

  Further, the maturity level of the community can be said to be an index indicating the depth of the relationship between the users in the community. The depth of a user's relationship is the degree to which that user participates in that community. For example, if the community is more mature, It can be said that it is closely related to the community. Such a state can also be referred to as being related by the state of the core group. Depending on the degree of maturity, it is also called an active group that is loosely related to the core group, and a peripheral group that is more loosely related to the core group.

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

Claims (9)

A method for measuring the activity of a community, which measures the activity of the community when a group of users who interact with each other about a specific purpose or topic is defined as a community,
A step of collecting information A about the behavior of the user in a place where the user interacts online,
A step B of collecting information B regarding the behavior of the user for one or more events held offline by the user and / or a host that hosts or manages at least part of the community;
The information A is used to obtain the online activity A1 of the user, the information B is used to obtain the offline activity B1 of the user, and the activity A1 and the activity B1 are used to determine the activity of the community. And a step C for obtaining C1. 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). The method for measuring the degree of activity of the community described in 1.
(A1) A plurality of web pages constituting the place where the user interacts online, and a stay status regarding which page and how long the user stayed (a2) A plurality of places configuring the place where the user interacts online In the web page of, the access status regarding how often and which page was accessed (a3) the transition status regarding which page the user has transitioned from online to the place where the user interacts (a4) online In a plurality of web pages constituting a place where the user interacts, a transition status in the web page regarding which page transits to which page (a5) is provided from the user or the host in the place where the user interacts online. Content and / or frequency of evaluation issued by the user for articles, comments, announcements, advertisements or other information (a6) Articles provided by the user or the host in a place where the user interacts online , NPS value issued by the user for comments, announcements, advertisements or other information (net promoter score)
(B1) NPS value (net promoter score) of the event evaluated by the user who participated in the event
(B2) frequency with which the user participates in the event (b3) setting the difficulty level for participation in the event according to conditions selected from the day of the week, time, place, size, participation fee and number of times the event is held, Event participation status calculated by quantifying the frequency with which the user participated for the difficulty level The method for measuring activity of a community according to claim 2, wherein in the step C, the activity C1 of the community is obtained by performing the following (A) to (K).
(A) With respect to one or more items selected from (a1) to (a6), each score is calculated after defining evaluation criteria, and each activity A1 of the user is calculated. (B) The (b1) ) To (b3), one or more items selected from each of the items are set to an evaluation standard, and each score is obtained to obtain the activity B1 of each of the users (c) The activity A1 of each of the users is calculated. Using the averages in the community to obtain the average activity A2 (d) Using the respective activities B1 of the users in the community to obtain the average activity B2 (e) The average activity A2 Is standardized to obtain a standardized activity A3 (f) The average activity B2 is standardized to obtain a standardized activity B3 (g) The standardized activity A3 and the standardized activity B3 Is added to make the community activity C1. The step A collects information A about the behavior of the user online, and collects user information of the user,
The activity measuring method for a community according to any one of claims 1 to 3, wherein in the step C, the activity A1 of the user online is obtained using the information A and the user information. Further comprising a step D of measuring the environmental information D in the event venue every time 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,
The activity measuring method for a community according to any one of claims 1 to 4, wherein in the step C, the activity C1 of the community is further obtained by using the environment information D.   The activity measuring method according to claim 5, wherein in the step D, the environmental information D is measured after the air conditioning setting in the event venue is made constant.   In the step D, the environmental information E outside the event venue is measured every time from the start to the end of the event, or the environmental information E outside the event venue is measured at the start and end of the event, 7. The method for measuring the activity level of a community according to claim 5, wherein the environmental information D is corrected using the environmental information E.   How much the community has developed from the community activity C1 obtained by the community activity measuring method according to any one of claims 1 to 7 and the time after the community was formed. A method for measuring the maturity level of a community, which is characterized in that the maturity level of the community serving as an index is obtained. A community activity measurement program for measuring the activity of the community when a group of users who interact with each other about a specific purpose or topic is defined as a community,
A process of collecting information A about the user's behavior online,
A B process of collecting information B about the user's behavior for one or more events held offline by the user and / or a host that hosts or manages at least part of the place where the user interacts;
The information A is analyzed to determine the online activity A1 of the user, the information B is analyzed to determine the offline activity B1 of the user, and the activity A1 and the activity B1 are used to calculate the activity of the community. A program for measuring activity in a community, characterized by causing a computer to execute C processing for obtaining activity C1.