JP2019215637A - Scoring device, scoring method and program - Google Patents

Abstract

To provide a scoring device and a scoring method capable of fairly and clearly evaluating an influencer.SOLUTION: Provided is a scoring device for scoring user influence power. The scoring device includes: information acquisition means for acquiring the number of links of a user and a first average engagement rate of the user obtained from the number of evaluation information items relative to outgoing information items of the user and the number of links; extraction means for extracting, from among other users, a predetermined user having the same number of links as the number of links of the user and for acquiring a second average engagement rate of the predetermined user obtained from the number of evaluation information items relative to outgoing information items of the predetermined user and the same number of links; and calculation means for calculating a reference influence power value using general formula (I).SELECTED DRAWING: Figure 1

Description

  The present invention relates to a scoring device, a scoring method, and a program, and more particularly, to an influencer scoring device, an influencer scoring method, and a program.

  2. Description of the Related Art In recent years, influencer marketing that utilizes an influencer that has a strong influence on people to perform marketing has attracted attention in social media. This influencer is generally evaluated based on the number of followers of his / her social media, the number of likes for his / her posts, and the like.

  However, there are influencers who buy followers and likes to improve their reputation. On the other hand, there are influencers who have a small number of followers but have a great influence on people.

  Under these circumstances, it is difficult for an influencer marketing person to identify a good influencer. It has also led to less motivation for influencers to post good posts for marketing. Therefore, there is a need for a method of fairly and clearly evaluating influencers.

  On the other hand, a method of calculating the degree of influence of information written on social media is known (for example, Patent Document 1). However, such a method does not evaluate the influencer itself. Therefore, there is still a need for a method of correctly assessing influencers.

Japanese Patent No. 5525470

  An object of the present invention is to provide a scoring device that can evaluate influencers fairly and clearly. Another object of the present invention is to provide a scoring method capable of fairly and clearly evaluating influencers and a program for executing the method.

  Such an object is achieved by the following (1) to (13) of the present invention.

(1) A scoring device for scoring the influence of a user in social media on another user,
Information acquisition means for acquiring the number of links of the user, and the number of pieces of evaluation information for the transmission information of the user and a first average engagement rate of the user obtained from the number of links;
From the other users, a predetermined user having the same number of links as the number of links of the user is extracted, and the number of evaluation information for the transmission information of the predetermined user and the number of the same links obtained from the same number of links are obtained. Extraction means for obtaining a second average engagement rate for a given user;
A calculating means for calculating a reference influence value using the following general formula (I): a scoring apparatus for scoring the influence of the user.

（式中、Ｆ（Ｘ，Ｙ）は前記基準影響力値を示し、ｉは０以上の整数を示し、ｎは１以上の整数を示し、φ（ｘ_ｉ，ｙ_ｉ）は各種算出要素の計算式を示し、ω_ｉは前記φ（ｘ_ｉ，ｙ_ｉ）に対してのバイアス変数を示し、前記バイアス変数は０〜１０００の値である。）

(Wherein, F (X, Y) represents the reference influence value, i is shown an integer of 0 or more, n represents integer of 1 or _{more, φ (x i, y i} ) is the various calculation elements A calculation formula is shown, and ω _i indicates a bias variable for the φ (x _i , y _i ), and the bias variable is a value of 0 to 1000.)

  (2) The scoring device according to (1), wherein the general formula (I) is represented by the following general formula (II).

（式中、ｘ_１は前記第１の平均エンゲージメント率を示し、ｙ_１は前記第２の平均エンゲージメント率を示し、ｘ_２は０〜１．０の範囲の女性比を示し、ｙ_２は０．５を示し、ω_１、ω_２は０〜１０００のバイアス変数を示す。）

(Wherein, _{x 1} represents the first average engagement rate of, _{y 1} represents the second average engagement rate of, _{x 2} represents the female ratio in the range of 0 to 1.0, _{y 2} is 0 And ω ₁ and ω ₂ indicate bias variables of 0 to 1000.)

  (3) The scoring device according to (2), further including a variable specifying unit that specifies the bias variable using a predetermined range of the unit price of the user and the general formula (II).

  (4) The scoring device according to any one of (1) to (3), wherein the calculation unit calculates the user's consideration by multiplying the reference influence value by the number of links.

  (5) The scoring device according to any one of (1) to (3), wherein the calculation unit calculates the influence value of the user by multiplying the reference influence value by a predetermined adjustment value.

  (6) The scoring device according to (5), further including a ranking unit that ranks the users based on the influence value.

(7) A scoring method for scoring the influence of users in social media on other users,
A step of acquiring the number of links of the user and a first average engagement rate of the user obtained from the number of pieces of evaluation information and the number of links to the transmission information of the user,
Extracting from the other users a predetermined user having the same number of links as the number of links of the user;
Obtaining a second average engagement rate of the predetermined user obtained from the number of pieces of evaluation information for the transmission information of the predetermined user and the same number of links;
Calculating a reference influence value using the following general formula (I). A scoring method for scoring the influence of the user, comprising:

（式中、Ｆ（Ｘ，Ｙ）は前記基準影響力値を示し、ｉは０以上の整数を示し、ｎは１以上の整数を示し、φ（ｘ_ｉ，ｙ_ｉ）は各種算出要素の計算式を示し、ω_ｉは前記φ（ｘ_ｉ，ｙ_ｉ）に対してのバイアス変数を示し、前記バイアス変数は０〜１０００の値である。）

(Wherein, F (X, Y) represents the reference influence value, i is shown an integer of 0 or more, n represents integer of 1 or _{more, φ (x i, y i} ) is the various calculation elements A calculation formula is shown, and ω _i indicates a bias variable for the φ (x _i , y _i ), and the bias variable is a value of 0 to 1000.)

  (8) The scoring method according to the above (7), wherein the general formula (I) is represented by the following general formula (II).

（式中、ｘ_１は前記第１の平均エンゲージメント率を示し、ｙ_１は前記第２の平均エンゲージメント率を示し、ｘ_２は０〜１．０の範囲の女性比を示し、ｙ_２は０．５を示し、ω_１、ω_２は０〜１０００のバイアス変数を示す。）

(Wherein, _{x 1} represents the first average engagement rate of, _{y 1} represents the second average engagement rate of, _{x 2} represents the female ratio in the range of 0 to 1.0, _{y 2} is 0 And ω ₁ and ω ₂ indicate bias variables of 0 to 1000.)

  (9) The scoring method according to (8), further including a step of specifying the bias variable using a predetermined range of the unit price of the user and the general formula (II).

  (10) The scoring method according to any one of (7) to (9), further including a step of calculating the user's consideration by multiplying the reference influence value by the number of links.

  (11) The scoring method according to any one of (7) to (9), further including a step of calculating the influence value of the user by multiplying the reference influence value by a predetermined adjustment value.

  (12) The scoring method according to (11), further comprising a step of ranking the users from the influence values.

(13) a program for scoring the influence of users in social media on other users,
Acquiring the number of links of the user, and the first average engagement rate of the user obtained from the number of evaluation information and the number of links to the transmission information of the user;
Extracting, from the other users, a predetermined user having the same number of links as the number of links of the user;
Obtaining a second average engagement rate of the predetermined user obtained from the number of pieces of evaluation information for the transmission information of the predetermined user and the same number of links;
Calculating a reference influence value using the following general formula (I), and causing the computer to execute the program.

（式中、Ｆ（Ｘ，Ｙ）は前記基準影響力値を示し、ｉは０以上の整数を示し、ｎは１以上の整数を示し、φ（ｘ_ｉ，ｙ_ｉ）は各種算出要素の計算式を示し、ω_ｉは前記φ（ｘ_ｉ，ｙ_ｉ）に対してのバイアス変数を示し、前記バイアス変数は０〜１０００の値である。）

(Wherein, F (X, Y) represents the reference influence value, i is shown an integer of 0 or more, n represents integer of 1 or _{more, φ (x i, y i} ) is the various calculation elements A calculation formula is shown, and ω _i indicates a bias variable for the φ (x _i , y _i ), and the bias variable is a value of 0 to 1000.)

  ADVANTAGE OF THE INVENTION According to this invention, the scoring apparatus which can evaluate an influencer fairly and clearly can be provided. Further, it is possible to provide a scoring method capable of fairly and clearly evaluating influencers and a program for executing the method.

FIG. 1 is a block diagram illustrating a configuration of a scoring device according to an embodiment of the present invention. FIG. 2 is a user information table stored in the storage unit of the scoring device shown in FIG. FIG. 3 is a user information table stored in the storage unit of the scoring device shown in FIG. FIG. 4 is a rank table stored in the storage unit of the scoring device shown in FIG. FIG. 5 is a block diagram illustrating a control unit of the scoring device according to the embodiment of the present invention. FIG. 6 is a diagram showing user information extracted by the extraction unit of the control unit shown in FIG. FIG. 7 is a flowchart illustrating an operation process of the scoring device according to the embodiment of the present invention. FIG. 8 is a block diagram showing a scoring system including the scoring device of the present invention.

  Hereinafter, a scoring device of the present invention will be described in detail based on preferred embodiments shown in the accompanying drawings.

1. Scoring device FIG. 1 is a block diagram showing a configuration of a scoring device according to an embodiment of the present invention, FIG. 2 is a user information table stored in storage means of the scoring device shown in FIG. 1, and FIG. 4 is a user information table stored in the storage unit of the scoring device shown in FIG. 1, and FIG. 4 is a rank table stored in the storage unit of the scoring device shown in FIG. Hereinafter, the configuration of each unit of the scoring device 1 will be described in order.

  The scoring device 1 of the present invention is a device that scores a user's influence on other users in social media. The scoring device 1 includes, for example, a mobile phone terminal, a smartphone, a personal computer, a tablet, and the like. As shown in FIG. 1, such a scoring device 1 includes an input unit 11, a storage unit 12, a control unit 13, a display unit 14, and a communication unit 15. These components are communicably connected to each other by a data bus.

  Here, the social media includes, for example, a social networking service (SNS) such as Twitter (registered trademark) and Instagram (registered trademark). The influencer is a person who has an influence on others, particularly a person who has a great influence on other consumers in the consumer-consumed media on the Internet. Users also include anyone who uses social media, especially including influencers.

<Input means>
The input unit 11 is an input device for a user to input data. The input unit 11 may be in any mode as long as the user can input data. For example, the input unit 11 may be an input device such as a keyboard, a mouse, and a touch panel, or a data receiving module such as a USB bus and an infrared port. When a user inputs data such as user information and transmission information to the scoring device 1 via the input unit 11, the information stored in the storage unit 12 can be changed, added, or deleted.

<Storage means>
The storage unit 12 has a ROM that is a read-only storage area and a RAM that is a rewritable storage area. The storage unit 12 is realized by, for example, a nonvolatile storage device such as a flash memory or a hard disk. The storage unit 12 has a function of storing information input from the input unit 11 and the like. The storage unit 12 has a function of storing input information obtained from a terminal device (not shown) via the communication unit 15. Such input information includes user information, transmission information, evaluation information, and the like.

  The user information includes registration information for using social media. This registration information includes personal information such as name, gender, date of birth, nationality, ID number, and password. In addition, user information includes information such as the number of other users you follow on social media (number of followers) and the number of other users following you on social media (number of followers or links). Including. In addition, the user information includes its own posts, the female ratio d of followers, evaluations by other users (that is, “likes”, etc.), and photos and sentences related to the transmitted information.

  Here, the female ratio d is in the range of 0.0 to 1.0. If all followers of the user are female, the female ratio d indicates 1.0 (100%). On the other hand, if all the followers are male, the female ratio d is 0.0 (0%). Therefore, the larger the female ratio d, the higher the female ratio of other users following the user.

  The storage unit 12 stores user information for each user. That is, as shown in FIG. 2, the storage unit 12 collectively stores the user information acquired by the control unit 13 in a user information table. This user information table is updated when a user provides transmission information and when evaluation information is received from another user.

  Referring to FIG. 2, for example, information such as name, gender, number of followers, number of posts, and female ratio d is stored in correspondence with user number 00001. In this user information table, XX of user number 00001 is a female, indicating that the number of followers is 1000, the female ratio of followers is 1.0 (that is, the female rate is 100%), and the number of posts is 10.

  The transmission information is information provided by the user to social media, that is, so-called posted information. This post information is stored in association with “post count” in the user information table of FIG. The evaluation information is engagement information in which another user has responded to the posted information of the user. For example, the evaluation information includes the number of engagements such as the number of so-called “likes” and the number of comments on posts.

  For example, the storage unit 12 stores evaluation information in association with each piece of user posted information. That is, as shown in FIG. 3, the storage unit 12 collectively stores the evaluation information from other users and the engagement rate in the engagement table with respect to the post information acquired by the control unit 13. This engagement table is updated each time a user transmits posting information and each time evaluation information is received from another user.

  Referring to FIG. 3, for example, for all posts of user number 00001, the number of engagements from all users (first engagement number) and the number of engagements from users having the same number of followers (second engagement number) (The number of engagements) and the engagement rate. Specifically, FIG. 3 shows that when the user 00001 having the number of followers of 1000 (FIG. 2) transmits the post 1, 20 pieces of evaluation information have been received from all the users. And it shows that, out of the 20 pieces of evaluation information, 10 pieces of evaluation information were received from users having the same number of followers (1000).

  The engagement rate is a rate obtained by dividing the second number of engagements by the number of followers. Therefore, in FIG. 3, the engagement rate for the post 1 is (second engagement number 10 / follower number 1000) × 100, which is 1%. Further, the engagement table stores an average engagement rate obtained by averaging the engagement rates for all pieces of post information. That is, the average engagement rate of the user 00001 is (sum of all engagement rates / number of posted information) × 100, which indicates that it is 5%. The storage unit 12 stores the engagement table for each user, and updates the table each time evaluation information is received from another user.

  In addition, the storage unit 12 stores the range of the influence value of the influencer and the rank in association with each other. That is, as shown in FIG. 4, the storage unit 12 stores the ranks S to D, the range of the influence value calculated by the control unit 13, the reference formula of the influence value, and the user included in the range of the influence value. Is stored in the rank table. Referring to FIG. 4, in rank B, users whose influence values are 300 to 380 are classified. The rank table shows that rank B classifies 40% of all users. The storage unit 12 updates this rank table every time a user is ranked.

  In addition, the storage unit 12 stores photograph information and text information related to the post. Further, the storage unit 12 stores a general formula described later, variables related thereto, an average engagement rate of the extracted users, and the like.

<Control means>
Next, the control means 13 will be described. FIG. 5 is a block diagram showing control means of the scoring device according to the embodiment of the present invention, and FIG. 6 is a view showing user information extracted by the extraction means of the control means shown in FIG.

  The control unit 13 has a function of controlling the scoring device 1. The control means 13 includes a ROM for storing a control program for controlling the scoring device 1, a RAM for temporarily storing data, and a CPU for executing the control program in the ROM. The control unit 13 controls each unit of the scoring device 1 by executing a control program in the ROM as necessary. The control unit 13 includes an information acquisition unit 131, an extraction unit 132, a variable identification unit 133, a calculation unit 134, and a ranking unit 135.

(Information acquisition means)
The information acquisition unit 131 has a function of acquiring various types of information, and in particular, has a function of acquiring user information, posted information, evaluation information, and the like of the user as described above. Further, the information acquisition unit 131 acquires information of a specific user (influencer) from the user information table stored in the storage unit 12 by receiving an instruction input from the user. For example, when receiving the input of the user number 00001, the information acquisition unit 131 acquires the number of followers and the female ratio d of the user 00001 from the user information table of FIG. Further, the information acquisition unit 131 acquires an average engagement rate (first average engagement rate) from the engagement table in FIG.

(Extraction means)
The extracting unit 132 extracts a user having the same number of followers as the influencer obtained by the information obtaining unit 131. Specifically, the extracting unit 132 extracts all users having the same number of followers as the specific influencer from the user information table shown in FIG. For example, when the information acquisition unit 131 acquires the user information of the user number 00001, the number of followers of the user is 1000. Therefore, the extraction unit 132 determines that Mr. △△ of the user number 00003 having the number of 1000 followers. Extract user information. At this time, the extracting unit 132 also extracts the engagement tables of all the extracted users.

  Further, the extraction unit 132 acquires the average engagement rate of each user from the extracted engagement table. Then, the extracting unit 132 temporarily stores all the extracted users and all the acquired average engagement rates collectively. Specifically, as shown in FIG. 6, the extracting unit 132 temporarily stores the users of the user numbers 00003, 00006, 0099, 0258, and 10001 and the average engagement rates of the users in association with each other. At this time, the extracting unit 132 averages the obtained plurality of average engagement rates to calculate an average value of the average engagement rates (a second average engagement rate). In the case of FIG. 6, the average value of the average engagement rate indicates 5%.

(Variable identification means)
The variable specifying unit 133 has a function of specifying a bias variable using the following general formula (I). This general formula (I) is a formula for calculating the reference influence value by the total power of the items considered when scoring the influencer.

（式中、Ｆ（Ｘ，Ｙ）は前記基準影響力値を示し、ｉは０以上の整数を示し、ｎは１以上の整数を示し、φ（ｘ_ｉ，ｙ_ｉ）は各種算出要素の計算式を示し、ω_ｉは前記φ（ｘ_ｉ，ｙ_ｉ）に対してのバイアス変数を示す。）

(Wherein, F (X, Y) represents the reference influence value, i is shown an integer of 0 or more, n represents integer of 1 or _{more, φ (x i, y i} ) is the various calculation elements A calculation formula is shown, and ω _i represents a bias variable with respect to the above φ (x _i , y _i ).

  For example, when the various calculation factors are the influencer engagement rate and the female ratio, the following general formula (II) is obtained.

（式中、ｘ_１は第１の平均エンゲージメント率を示し、ｙ_１は第２の平均エンゲージメント率を示し、ｘ_２は０〜１．０の範囲の女性比を示し、ｙ_２は０．５を示し、ω_１、ω_２はバイアス変数を示す。）

(Where x ₁ denotes a first average engagement rate, y ₁ denotes a second average engagement rate, x ₂ denotes a female ratio in the range of 0 to 1.0, and y ₂ denotes 0.5 And ω ₁ and ω ₂ indicate bias variables.)

The variable specifying unit 133 has a function of calculating bias variables of ω ₁ and ω _{2 in} the general formula (II). Here, the following variables are used to simplify the general formula (II).

  By substituting the above variables into the above general formula (II), the following general formula (III) can be obtained. This indicates the reference influence value.

（式中、Δｅ＝ｘ_１−ｘ_２を示し（ｘ_１は第１の平均エンゲージメント率を示し、ｘ_２は第２の平均エンゲージメント率を示す）、ｄは０〜１．０の範囲の女性比を示し、ｘおよびｙはバイアス変数を示す。）

(In the formula, Δe = x ₁ −x ₂ is shown (x ₁ shows the first average engagement rate, x ₂ shows the second average engagement rate), and d is a woman in the range of 0 to 1.0. Indicate the ratio and x and y indicate the bias variables.)

  The bias variable is a value that adjusts the unit price of the influencer. In conventional influencer marketing, when paying for an influencer, generally, the price is calculated at a follower unit price of 1 yen (about $ 0.01). When the price is calculated at the lowest unit price, the influencer may be less motivated for the request and may decline the request. On the other hand, calculating the price at the maximum unit price may impair the profits of the influencer marketing person. Therefore, the bias variable is a value that adjusts the maximum unit price and the minimum unit price.

  Here, from the experience side, it is determined from the user information table of FIG. 2, the engagement table of FIG. 3, and the table of FIG. 6 that Δe is in the following range.

  In general, the unit price of an influencer is 0 to 100 yen (about 0 to 1 dollar), preferably 0 to 50 yen (about 1 to 0.5 dollar), and more preferably 0.1 to 10 yen (about 1 to 0.5 yen). 0.001 to $ 0.1), most preferably 0.1 to 3 yen (about 0.001 to $ 0.03). The variable specifying means 133 obtains the bias variables x and y from the information by using the general formula (III). First, the variable specifying means 133 calculates the general formula, the range of Δe, the range of d, and the range of the unit price of the influencer (for example, 0.5 to 3.0 yen (about 0.005 to 0. $ 03)), the following equation (1) is derived.

  The variable specifying unit 133 simplifies the above equation (1) and derives the following equation (2). Then, the variable specifying means 133 converts this equation (2) from a simultaneous inequality equation to a simultaneous equation.

  That is, the variable specifying means 133 obtains the following equations (3) and (4) representing simultaneous equations. Then, the variable specifying means 133 solves the equations (3) and (4).

  The variable specifying unit 133 specifies the bias variable by using the above equations (3) and (4), where x = 13.12 and y = 1.42.

  The variable specifying unit 133 substitutes the obtained values of x and y into the general formula (III) to create the following general formula (IV) for calculating the reference influence value.

（式中、Δｅ＝ｘ_１−ｘ_２を示し（ｘ_１は第１の平均エンゲージメント率を示し、ｘ_２は第２の平均エンゲージメント率を示す）、ｄは０〜１．０の範囲の女性比を示す。）

(In the formula, Δe = x ₁ −x ₂ is shown (x ₁ shows the first average engagement rate, x ₂ shows the second average engagement rate), and d is a woman in the range of 0 to 1.0. The ratio is shown.)

  The bias variable has a different value by changing the range of Δe and the range of d used by the variable specifying unit 133. Such a bias variable x is preferably 0 to 1000, more preferably 0 to 100, and most preferably 0 to 50. Further, the bias variable y is preferably from 0 to 1000, more preferably from 0 to 100, and most preferably from 0 to 50. With such a range of the bias variable, the bias variable has an appropriate value, and an objective and fair reference influence can be obtained. Note that the bias variables x and y do not include 0.

  As described above, by specifying the bias variable by the variable specifying unit 133, it is possible to obtain the general formula (IV) for obtaining the reference influence value from the user information and the engagement rate. According to the general formula (IV), the calculating unit 134 described later can accurately and clearly calculate the influence of the influencer. The general formula (IV) is not limited to this, and x and y are different from the calculated values by changing the range of Δe and the range of d used by the variable specifying unit 133. You may.

(Calculation means)
The calculating means 134 has a function of calculating the reference influence value using any one of the general formulas (I) to (IV), in particular, the general formula (IV). Specifically, calculation means 134, the average engagement rate x ₁ and female ratio d influencer information acquiring unit 131 has acquired, the average engagement rate y ₁ the extraction unit 132 is calculated by the above general formula (IV) By substituting, the reference influence value is calculated. This reference influence value is a value indicating the fundamental influence of the influencer.

For example, a reference influence value of a user 00001 having 1000 followers is calculated. In this case, the female ratio d of the user is 1.0 from FIG. 2, and the average engagement rate of the user is 5% from FIG. Also, from FIG. 6, the average value of the average engagement rate of the other users having the same number of followers as the user 00001 is 5%. Therefore, Δe in the general formula (IV) is x ₁ −x ₂ = 5−5 = 0, and the female ratio d is 1.0. Therefore, the reference influence value of the user 00001 is (1 + 0 / 13.12) (1 + 0.5 / 1.42) = 1.352. Thereby, the influence of the user 00001 as the influencer is evaluated as the reference influence value 1.352.

  The calculating means 134 has a function of calculating the price of the influencer by the following general formula (V). Specifically, the value of the influencer can be calculated using the general formula (V) obtained by multiplying the reference influence value of the general formula (I) by the number of followers f.

（式中、ｆはフォロワー数を示し、ｉは０以上の整数を示し、ｎは１以上の整数を示し、φ（ｘ_ｉ，ｙ_ｉ）は各種算出要素の計算式を示し、ω_ｉは前記φ（ｘ_ｉ，ｙ_ｉ）に対してのバイアス変数を示す。）

(Wherein, f is indicates the number of followers, i is shown an integer of 0 or more, n represents integer of 1 or _{more, φ (x i, y i} ) represents the equation of the various calculation elements, omega _i is wherein φ _{(x i, y} i) shows the bias variables against.)

  Further, if the above general formula (IV) is used, the price of the influencer can be calculated using the following general formula (VI) obtained by multiplying the reference influence value of the general formula (IV) by the number of followers f. .

（式中、ｆはフォロワー数、Δｅ＝ｘ_１−ｘ_２を示し（ｘ_１は第１の平均エンゲージメント率を示し、ｘ_２は第２の平均エンゲージメント率を示す）、ｄは０〜１．０の範囲の女性比を示す。）

(Where f represents the number of followers, Δe = x ₁ −x ₂ (x ₁ represents a first average engagement rate, x ₂ represents a second average engagement rate), and d is 0 to 1. The female ratio in the range of 0 is shown.)

  For example, since the reference influence value of the user 00001 is 1.352 and the number of followers is 1000, the consideration of the user 00001 is calculated as 1000 × 1.352 = 1352 yen. This price is the price that the user 00001 receives when the user 00001 contracts with a person who performs influencer marketing.

  The above general formulas (V) and (VI) are very useful in calculating the price for influencers, but may be inaccurate in evaluating influencers individually. Because recently, you can buy followers. Therefore, the influence value is calculated by multiplying the general formula by a predetermined adjustment value. That is, the calculating means 134 has a function of calculating the influence value of the influencer by the following general formula (VII).

（式中、ｉは０以上の整数を示し、ｎは１以上の整数を示し、φ（ｘ_ｉ，ｙ_ｉ）は各種算出要素の計算式を示し、ω_ｉは前記φ（ｘ_ｉ，ｙ_ｉ）に対してのバイアス変数を示し、単価上限は前述したインフルエンサーの単価の範囲の上限を示す。）

(Where, i is shown an integer of 0 or more, n represents integer of 1 or _{more, φ (x i, y i} ) represents the equation of the various calculation elements, omega _i is the phi _(x i, y The bias variable for _i ) is shown, and the unit price upper limit indicates the upper limit of the above-described influencer unit price range.)

  Further, if the general formula (IV) is used, the influence value of the influencer is calculated using the following general formula (VIII) obtained by multiplying the reference influence value of the general formula (IV) by a predetermined adjustment value. be able to. This influence value is included in the range of 160 to 1000.

（式中、Δｅ＝ｘ_１−ｘ_２を示し（ｘ_１は第１の平均エンゲージメント率を示し、ｘ_２は第２の平均エンゲージメント率を示す）、ｄは０〜１．０の範囲の女性比を示す。）

(In the formula, Δe = x ₁ −x ₂ is shown (x ₁ shows the first average engagement rate, x ₂ shows the second average engagement rate), and d is a woman in the range of 0 to 1.0. The ratio is shown.)

  In the general formula (VIII), the adjustment value is 1000/3, but is not limited to this as long as the unit price upper limit is within the above-described influencer unit price range. The adjustment value may be 1000/5, 1000 / 0.3 or 1000 / 3.5.

  As described above, since the reference influence value of the user 00001 is 1.352 and the adjustment value is 1000/3, the influence value of the user 00001 is calculated as 1.352 × 1000/3 = 450.7. Is done. The influence value serves as an index when evaluating the influence of the user 00001 on another user.

  The reference influence value, the consideration, the influence value, and the like calculated by the calculation means 134 are provided to the storage means 12. Thereby, the storage unit 12 stores these values in the user information table in association with the user. In this case, the user information table is updated.

  Further, the reference influence value, the consideration, and the influence value are also provided to the display unit 14. Thereby, the display means 14 can display the reference influence value, consideration, and influence value of the influencer. Therefore, the user can grasp at a glance the influence of himself, and the person using the scoring device 1 can grasp the influence of the influencer accurately at a glance.

(Ranking means)
The ranking unit 135 has a function of ranking the user influence values calculated by the calculation unit 134. Specifically, the ranking unit 135 refers to the rank table stored in the storage unit 12 and ranks the user in a rank corresponding to the range including the calculated influence value. In this case, the user information table is updated.

  As described above, since the influence value of the user 00001 is 450.7, the ranking unit 135 ranks the influence of the user 00001 as rank B with reference to the rank table of FIG. Therefore, the user can grasp his or her influence by numerical values. In addition, a person who conducts influencer marketing can objectively and accurately grasp which influencer has what degree of influence.

<Display means>
The display unit 14 displays an operation screen for the user of the scoring device 1 based on a command from the control unit 13. The display unit 14 can display information stored in the storage unit 12, a reference influence value, and the like. The display unit 14 is realized by, for example, a liquid crystal display (LCD: Liquid Crystal Display) or the like.

<Communication means>
The communication unit 15 has a function of communicating with another terminal device via a network. That is, the communication unit 15 has a function as a receiving unit that receives various data and signals transmitted from the terminal device, and a transmission unit that transmits various data and signals to other devices in accordance with instructions from the control unit 13. It has a function. The communication unit 15 is realized by, for example, a network interface having a communication protocol such as NIC and TCP / IP. In the present invention, the communication means 15 may be omitted.

  In addition, the communication unit 15 can provide the reference influence value, the score, and the like to another terminal device or the like. As a result, the user's reference influence value, consideration, and influence value can be shared with a terminal device (not shown) via the communication unit 15.

  The scoring device 1 of the present invention as described above is used by a person who conducts influencer marketing, an influencer, an intermediary thereof, and the like. These persons can objectively and accurately know the influence of the influencer by the scoring device 1 of the present invention. Therefore, the person who performs influencer marketing or the intermediary can easily and accurately specify the influential influencer, and can perform highly reliable marketing. Influencers, on the other hand, can objectively know their influence and send high-quality posts.

2. Operation Processing of Scoring Apparatus Next, operation processing of the scoring apparatus of the present embodiment will be described in detail. FIG. 7 is a flowchart illustrating an operation process of the scoring device according to the embodiment of the present invention.

First, the information acquisition unit 131 acquires user information of a specific influencer based on an input instruction from a user (S1). The user information includes the number of followers influencers, the average engagement rate x _1, and a female ratio d. Next, the extraction unit 132 extracts a user having the same number of followers (the number of links) as the number of followers of the specific influencer (S2). At the same time, the extraction means 132 acquires the extracted average engagement rate of the user with reference to the engagement table of FIG. 3 (S3). Extracting means 132, as shown in FIG. 6, the extracted user, corresponding to an average engagement rate, calculates the average value y ₁ of the average engagement rate (S4).

Next, a variable specifying means 133, and the scope of consideration influencers, the average engagement rate x ₁ influencers, the average value y ₁ of the average engagement rate of each user, and female ratio d, the general formula (I) The bias variable is calculated by using any one of (III) to (III) (S5). Thereby, for example, a general formula (IV) in which the calculated bias variable is substituted into the general formula (III) is obtained. This general formula (IV) is a specific formula for calculating the reference influence value of the influencer.

Calculating means 134 substitutes the average engagement rate x ₁ and female ratio d that information acquiring unit 131 has acquired, extracting means 132 is the average value y ₁ of the average engagement rate calculated in the formula (IV), influencers Is calculated (S6). Next, the calculating unit 134 determines whether to multiply the reference influence value by the number of influencer followers (S7). When the calculating unit 134 determines that the number of followers is multiplied, the calculating unit 134 multiplies the reference influence value by the number of followers of the user to calculate the value of the influencer (S8). Thus, the process ends.

  On the other hand, when the calculating unit 134 determines that the number of followers is not multiplied, the process proceeds to step S9. In step S9, the calculating unit 134 determines whether to multiply the reference influence value by the adjustment value. If the calculating means 134 determines that the adjustment value is not to be multiplied, the process ends. On the other hand, when the calculation unit 134 determines that the adjustment value is to be multiplied, the calculation unit 134 calculates the influence value by multiplying the reference influence value by the adjustment value (S10). This influence value is a value obtained by scoring the influence of the influencer. Then, the ranking unit 135 ranks the influencers based on the influence value (S11). Thus, the process ends.

  As described above, the processing method described above can be created by a program executed by a computer. Such a program is realized by a CPU, a microprocessor (microprocessor), a GPU (graphic processing unit), a RAM, a ROM, and the like.

3. Next, a system including the scoring device of the present embodiment will be described in detail. FIG. 8 is a block diagram showing a scoring system including the scoring device of the present invention. As shown in FIG. 8, the scoring system 10 includes a plurality of scoring devices 1 and a server device 2 communicably connected via a network 3.

  The server device 2 is an information processing device used when a system administrator or the like operates and manages the scoring system 10. This server device (scoring device) 2 is constituted by, for example, a workstation or a personal computer. The server device 2 can distribute various information to the scoring device 1 via the network 3 according to various commands (requests) transmitted from the scoring device 1. The server device 2 in the present embodiment can provide an influencer corresponding to the distribution request of the influencer information from the scoring device 1 via the network 3.

  The server device 2 includes an input unit, a storage unit, a control unit, a display unit, and a communication unit (not shown). These components are communicably connected to each other by a data bus. This configuration may be the same as the scoring device 1. Therefore, the server device 2 may also serve as the scoring device 1.

  The network 3 is configured by the Internet, a LAN (Local Area Network), a VAN (Value Added Network), or the like. The network 3 may be a wired network, a wireless network, or a combination thereof. The network 3 is constructed by, for example, Ethernet (registered trademark), a public telephone network, a wireless communication network, a mobile telephone network, or the like.

  According to the scoring system 10 described above, both the influencer marketing person and the influencer can easily and accurately know the influence of the influencer anywhere. Therefore, a person who performs influencer marketing can perform accurate marketing. Influencers can also motivate posts.

  The scoring device, scoring method, and program thereof according to the present invention have been described based on the preferred embodiments. However, the present invention is not limited to this, and the configuration of each unit has the same function. Any configuration can be used. Further, any other means or components may be added to the present invention.

  DESCRIPTION OF SYMBOLS 1 ... Scoring device 11 ... Input means 12 ... Storage means 13 ... Control means 131 ... Information acquisition means 132 ... Extraction means 133 ... Variable identification means 134 ... Calculation means 135 ... Ranking means 14 ... Display means 15 ... Communication means 2 ... Server device 3 Network 10 Scoring system

Claims (13)

A scoring device that scores a user's influence on another user in social media,
Information acquisition means for acquiring the number of links of the user, and the number of pieces of evaluation information for the transmission information of the user and a first average engagement rate of the user obtained from the number of links;
From the other users, a predetermined user having the same number of links as the number of links of the user is extracted, and the number of evaluation information for the transmission information of the predetermined user and the number of the same links obtained from the same number of links are obtained. Extraction means for obtaining a second average engagement rate for a given user;
A calculating means for calculating a reference influence value using the following general formula (I): a scoring apparatus for scoring the influence of the user.

(Wherein, F (X, Y) represents the reference influence value, i is shown an integer of 0 or more, n represents integer of 1 or _{more, φ (x i, y i} ) is the various calculation elements A calculation formula is shown, and ω _i indicates a bias variable for the φ (x _i , y _i ), and the bias variable is a value of 0 to 1000.) The scoring device according to claim 1, wherein the general formula (I) is represented by the following general formula (II).

(Wherein, _{x 1} represents the first average engagement rate of, _{y 1} represents the second average engagement rate of, _{x 2} represents the female ratio in the range of 0 to 1.0, _{y 2} is 0 And ω ₁ and ω ₂ indicate bias variables of 0 to 1000.)   The scoring device according to claim 2, further comprising a variable specifying unit that specifies the bias variable using a predetermined range of the unit price of the user and the general formula (II).   The scoring device according to any one of claims 1 to 3, wherein the calculation unit calculates the user's consideration by multiplying the reference influence value by the number of links.   4. The scoring device according to claim 1, wherein the calculation unit calculates the influence value of the user by multiplying the reference influence value by a predetermined adjustment value. 5.   The scoring device according to claim 5, further comprising a ranking unit that ranks the user from the influence value. A scoring method for scoring the influence of a user on social media on another user,
A step of acquiring the number of links of the user and a first average engagement rate of the user obtained from the number of pieces of evaluation information and the number of links to the transmission information of the user,
Extracting from the other users a predetermined user having the same number of links as the number of links of the user;
Obtaining a second average engagement rate of the predetermined user obtained from the number of pieces of evaluation information for the transmission information of the predetermined user and the same number of links;
Calculating a reference influence value using the following general formula (I). A scoring method for scoring the influence of the user, comprising:

(Wherein, F (X, Y) represents the reference influence value, i is shown an integer of 0 or more, n represents integer of 1 or _{more, φ (x i, y i} ) is the various calculation elements A calculation formula is shown, and ω _i indicates a bias variable for the φ (x _i , y _i ), and the bias variable is a value of 0 to 1000.) The scoring method according to claim 7, wherein the general formula (I) is represented by the following general formula (II).

(Wherein, _{x 1} represents the first average engagement rate of, _{y 1} represents the second average engagement rate of, _{x 2} represents the female ratio in the range of 0 to 1.0, _{y 2} is 0 And ω ₁ and ω ₂ indicate bias variables of 0 to 1000.)   The scoring method according to claim 8, further comprising a step of specifying the bias variable using a predetermined range of the unit price of the user and the general formula (II).   The scoring method according to any one of claims 7 to 9, further comprising a step of calculating a consideration for the user by multiplying the reference influence value by the number of links.   The scoring method according to claim 7, further comprising calculating an influence value of the user by multiplying the reference influence value by a predetermined adjustment value.   The scoring method according to claim 11, further comprising: ranking the user from the influence value. A program for scoring the influence of users on social media over other users,
Acquiring the number of links of the user, and the first average engagement rate of the user obtained from the number of evaluation information and the number of links to the transmission information of the user;
Extracting, from the other users, a predetermined user having the same number of links as the number of links of the user;
Obtaining a second average engagement rate of the predetermined user obtained from the number of pieces of evaluation information for the transmission information of the predetermined user and the same number of links;
Calculating a reference influence value using the following general formula (I), and causing the computer to execute the program.

(Wherein, F (X, Y) represents the reference influence value, i is shown an integer of 0 or more, n represents integer of 1 or _{more, φ (x i, y i} ) is the various calculation elements A calculation formula is shown, and ω _i indicates a bias variable for the φ (x _i , y _i ), and the bias variable is a value of 0 to 1000.)

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