CN111932109B - User influence evaluation system for mobile short video application - Google Patents

User influence evaluation system for mobile short video application Download PDF

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CN111932109B
CN111932109B CN202010784889.2A CN202010784889A CN111932109B CN 111932109 B CN111932109 B CN 111932109B CN 202010784889 A CN202010784889 A CN 202010784889A CN 111932109 B CN111932109 B CN 111932109B
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孙立远
王博
黄亮
万欣欣
李欣
赵忠华
付培国
王禄恒
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National Computer Network and Information Security Management Center
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Abstract

The invention relates to a user influence evaluation system for mobile short video application, and belongs to the technical field of data mining. The method fully considers the data in the mobile short video application domain and the diversified new media platform data outside the domain, respectively collects the user basic information, the short video information, the fan number information of the platform correlation account outside the domain and the like in the mobile short video application domain, respectively calculates the influence value inside the domain based on the short video quality and the influence value outside the domain based on the propagation potential by designing and evaluating algorithms, and synthesizes the final user influence value through certain weight. The method improves the existing evaluation method of a single platform data source, considers the cross-platform propagation potential of the user to adapt to the new situation of matrix type propagation of a new media platform, improves the comprehensiveness and effectiveness of evaluation on the influence of the mobile short video user, and realizes the automatic operation and real-time update of an evaluation system.

Description

User influence evaluation system for mobile short video application
Technical Field
The invention relates to a user influence evaluation system for mobile short video application, and belongs to the technical field of data mining.
Background
Mobile short video applications, represented by fast-hand, trembling, etc., are a new content delivery medium following text, pictures, traditional video. In recent years, mobile short video applications have been rapidly developed, which are becoming a new social platform and super portal in the mobile internet era. The creator who makes and releases the short video is also the user who moves the short video application at the same time, and becomes the new object of business marketing, administrative supervision. The research on the influence of the mobile short video user has important significance for accurately putting advertisements and effectively developing supervision and management.
The existing evaluation method for the influence of the mobile short video user is mainly based on the number of fans of a certain user in the short video application and operation indexes such as the number of praise, comment and forwarding of a video. However, the current new media platforms have various formats, and besides mobile short video application, microblogs, weChat public accounts and the like also have huge user use groups, so that a multi-platform matrix type spreading trend is presented, namely, one user simultaneously has a short video account, a microblog account, a WeChat public account and the like, and the characteristics of each platform are fully utilized to create a three-dimensional spreading effect. The existing evaluation method only considers the influence on a single platform, but neglects the propagation potential of a new media platform combination, and cannot effectively evaluate the actual influence of a user.
Disclosure of Invention
The invention aims to provide a mobile short video application-oriented user influence evaluation system, which improves the existing evaluation method of a single platform data source, considers the cross-platform propagation potential of a user to adapt to the new situation of matrix type propagation of a new media platform, improves the comprehensiveness and effectiveness of evaluation on the influence of the mobile short video user, and realizes automatic operation and real-time updating of the evaluation system.
The invention provides a user influence evaluation system for mobile short video application, which comprises a data acquisition server, a data storage server, a data analysis server and a system display server; the data acquisition server, the data storage server, the data analysis server and the system display server are connected through a data line; wherein:
the data acquisition server is used for acquiring data in the mobile short video application domain and data outside the mobile short video application domain (namely data of other mainstream media platforms);
the data storage server is used for storing the data in the mobile short video application domain and the data outside the mobile short video application domain, which are acquired by the data acquisition server;
the data analysis server is used for calculating the user influence of the mobile short video application according to the data in the mobile short video application domain and the data outside the mobile short video application domain, and updating the acquired data and influence regularly;
and the system display server is used for reading the numerical values of the influence database, designing a display page, and sequencing and displaying from high to low according to the numerical values.
In the above system for evaluating influence of a user, the data collection server operates as follows:
(1) Collecting data in a user mobile short video application domain:
setting a simulator on the data acquisition server, and simulating the mobile short video application of the login user on the simulator by using a web crawler tool; searching a user account in a mobile short video application of a user by using a preset keyword, sequentially opening a user basic page in a search list of the mobile short video application of the user, and acquiring user basic information from the user basic page, wherein the user basic information comprises the user account, a nickname, a head portrait, a sex, a birthday, a region, a user profile, a fan number and an attention number of the mobile short video;
(2) The method comprises the following steps that a user mobile short video application domain account number and a domain outside platform account number are associated:
according to the similarity of the attributes of basic users, identifying account information of the users outside the mobile short video from the mobile short video user accounts in the step (1), namely, platform accounts outside the domain, searching a nickname account list which is the same as the nickname in the basic information of the users in the step (1) from the platform accounts outside the domain, sequentially opening each page in the nickname account list to obtain head portraits, sexes, birthdays, regions and user profiles in the basic information of the users, sequentially matching the head portraits, the sexes, the birthdays, the regions and the user profiles in the basic information of the users acquired from the platform accounts outside the domain with the corresponding information in the step (1), and recording the platform accounts outside the domain with the most matched items as the related accounts of the mobile short video user accounts on the platform outside the domain;
(3) Acquiring data outside a user mobile short video application domain:
and (3) acquiring fan number information on the account number of the platform outside the domain associated in the step (2) by using a web crawler tool.
In the above system for evaluating influence of a user, the data storage server operates as follows:
(1) Storing user basic information in user mobile short video application domain data acquired by a data acquisition server and short video information issued by a user into an in-domain information base of a data storage server;
(2) Storing the correlation account number of the mobile short video user account number on the platform outside the domain and the fan number information on the account number of the platform outside the domain, which are acquired by the data acquisition server, into an information base outside the domain;
(3) And storing the total influence of the mobile short video application calculated by the data analysis server into an influence database of the data storage server.
In the above system for evaluating user influence, the data analysis server is used to calculate the user influence of the mobile short video application, and periodically update the collected data and influence, and the specific process is as follows:
(1) Calculating the user influence of the data in the mobile short video application domain:
reading short video information issued by a user from an intra-domain information base of a data storage server, and sequentially calculating the intra-domain influence I of the user u in the mobile short video application by using the following formula in (u)：
Figure BDA0002621575880000031
The method comprises the following steps that a user u publishes m short videos in a specific time interval, d (i) is the praise number of the ith short video, and s (i) is the forwarding number of the ith short video;
(2) Calculating the user influence of the mobile short video application out-of-domain data:
reading the information of the user's outside-domain associated account number and fan number from the outside-domain information base of the data storage server, and sequentially calculating the outside-domain influence I of the user u in the mobile short video application out (u)：
Figure BDA0002621575880000032
Wherein, the user u has associated account numbers of n out-of-domain platforms, which are respectively the out-of-domain platforms p 1 Associated account number u 1 Out-of-domain platform p 2 Associated account number u 2 Out-of-domain platform p n Associated account number u n The number of fans of each associated account is f (u) j ),j＝1,2,...n；
(3) Calculating the total influence of the mobile short video application:
setting the weight of the in-domain influence to be alpha, and the weight of the out-of-domain influence to be 1-alpha, the total influence of the mobile short video application is: i is u ＝α×I in (u)+(1-α)×I out (u)；
(4) Storing the calculation results of the step (1), the step (2) and the step (3) into an influence database of a data storage server;
(5) Acquiring user basic information, user short video information, domain-outside platform associated account information and fan number information of an associated account of the latest mobile short video application from a data acquisition server at regular intervals;
(6) Judging the latest user account information acquired in the step (5), wherein the method comprises the following steps;
(6-1) judging the latest user account in the user basic information in the step (5), if the latest user account exists in the domain information base of the data storage server, performing a step (6-2), and if the latest user account does not exist in the domain information base of the data storage server, performing a step (6-6);
(6-2) judging the latest other information in the user basic information in the step (5), wherein the latest other information comprises a mobile short video user account number, a nickname, a head portrait, a sex, a birthday, a region and a user profile, if the latest other information is consistent with the corresponding information stored in the domain information base of the data storage server, performing a step (6-3), if the latest other information is inconsistent with the corresponding information stored in the domain information base of the data storage server, updating the corresponding information in the domain information base by the latest other information, and performing a step (6-3);
(6-3) judging the latest user short video information acquired in the step (1), if the latest user short video information is consistent with the user short video information stored in the intra-domain information base of the data storage server, performing the step (6-4), and if the latest user short video information is inconsistent with the user short video information stored in the intra-domain information base of the data storage server, updating the user short video information in the intra-domain information base by the latest user short video information, and performing the step (6-4);
(6-4) judging the latest platform outside the domain associated account information acquired in the step (5), if the latest platform outside the domain associated account is consistent with corresponding information stored in an outside the domain information base of the data acquisition server, performing the step (6-5), and if the latest platform outside the domain associated account is inconsistent with corresponding information stored in the outside the domain information base of the data acquisition server, updating the platform outside the domain associated account in the back of the outside the domain information base with the latest platform outside the domain associated account, and performing the step (6-5);
(6-5) judging the fan count information of the latest out-of-domain platform associated account acquired in the step (5), if the fan count information of the latest out-of-domain platform associated account is consistent with corresponding information stored in an out-of-domain information base of the data acquisition server, performing the step (6-6), and if the fan count information of the latest out-of-domain platform associated account is inconsistent with the corresponding information stored in the out-of-domain information base of the data acquisition server, updating fan count information of the out-of-domain platform associated account in the back of the out-of-domain information base by the fan count information of the latest out-of-domain platform associated account, and performing the step (6-7);
(6-6) respectively adding a new entry in an intra-domain information base and an extra-domain information base of the data storage server, recording all newly acquired user basic information, user short video information, extra-domain platform associated account information and fan number information of an associated account in the new entry, and performing the step (6-7);
(6-7) repeating the step (6-1) -the step (6-6) until all the latest user accounts in the user basic information are judged, and updating data acquisition and storage is completed, and then the step (7) is carried out;
(7) And (4) repeating the steps (1) to (4) according to the updated in-domain information base and the updated out-of-domain information base to complete the updating of the influence database.
In the user influence evaluation system, the system display server is used for reading the numerical value of the influence database from the influence database of the data storage server, designing a display page, and sequencing and displaying the numerical value of the influence and the user short video information from high to low in sequence according to the numerical value of the influence.
The invention provides a user influence evaluation system for mobile short video application, which has the advantages that:
the user influence evaluation system for the mobile short video application fully considers the data in the mobile short video application domain and the diversified data of the new media platform outside the domain, respectively collects the user basic information, the short video information, the fan number information of the associated account number of the platform outside the domain and the like in the mobile short video application domain, respectively calculates the intra-domain influence value based on the short video quality and the extra-domain influence value based on the propagation potential by designing an evaluation algorithm, and synthesizes the final user influence value through certain weight. The system improves the existing influence evaluation method of a single platform data source, considers the cross-platform transmission potential of users to adapt to the new potential of matrix type transmission of a new media platform, improves the comprehensiveness and effectiveness of influence evaluation of mobile short video users, realizes the automatic operation and real-time updating of the evaluation system, and sequences and displays the numerical value of the influence and the short video information of the users from high to low in sequence.
Drawings
Fig. 1 is a schematic structural diagram of a user influence evaluation system for mobile short video applications according to the present invention.
Detailed Description
The structural schematic diagram of the user influence evaluation system for the mobile short video application is shown in fig. 1, and the system comprises a data acquisition server, a data storage server, a data analysis server and a system display server; the data acquisition server, the data storage server, the data analysis server and the system display server are connected through a data line; wherein:
the data acquisition server is used for acquiring data in the mobile short video application domain and data outside the mobile short video application domain (namely data of other mainstream media platforms);
the data storage server is used for storing the data in the mobile short video application domain and the data outside the mobile short video application domain, which are acquired by the data acquisition server;
the data analysis server is used for calculating the user influence of the mobile short video application according to the data in the mobile short video application domain and the data outside the mobile short video application domain, and updating the acquired data and influence regularly;
and the system display server is used for reading the numerical values of the influence database, designing a display page, sequencing and displaying the numerical values of the influence and the short video information of the user from high to low in sequence according to the numerical values of the influence.
In the above system for evaluating influence of a user, the data collection server operates as follows:
(1) Collecting data in a user mobile short video application domain:
setting a simulator on the data acquisition server, and simulating the mobile short video application of the login user on the simulator by using a web crawler tool; searching a user account in a mobile short video application of a user by using a preset keyword, sequentially opening a user basic page in a search list of the mobile short video application of the user, and acquiring user basic information from the user basic page, wherein the user basic information comprises the user account, a nickname, a head portrait, a sex, a birthday, a region, a user profile, a fan number and an attention number of the mobile short video;
(2) The method comprises the following steps that a user mobile short video application domain account number and a domain outside platform account number are associated:
according to the similarity of the attributes of basic users, identifying account information of the users outside the mobile short video from the mobile short video user accounts in the step (1), namely, platform accounts outside the domain, searching a nickname account list which is the same as the nickname in the basic information of the users in the step (1) from the platform accounts outside the domain, sequentially opening each page in the nickname account list to obtain head portraits, sexes, birthdays, regions and user profiles in the basic information of the users, sequentially matching the head portraits, the sexes, the birthdays, the regions and the user profiles in the basic information of the users acquired from the platform accounts outside the domain with the corresponding information in the step (1), and recording the platform accounts outside the domain with the most matched items as the related accounts of the mobile short video user accounts on the platform outside the domain;
(3) Acquiring data outside a user mobile short video application domain:
and (3) acquiring fan number information on the account number of the platform outside the domain associated in the step (2) by using a web crawler tool.
In the above system for evaluating influence of a user, the data storage server operates as follows:
(1) Storing user basic information in user mobile short video application domain data acquired by a data acquisition server and short video information issued by a user into an intra-domain information base of a data storage server;
(2) Storing the correlation account number of the mobile short video user account number on the platform outside the domain and the fan number information on the account number of the platform outside the domain, which are acquired by the data acquisition server, into an information base outside the domain;
(3) And storing the total influence of the mobile short video application calculated by the data analysis server into an influence database of the data storage server.
In the above system for evaluating user influence, the data analysis server is used to calculate user influence of mobile short video application, and periodically update the collected data and influence, and the specific process is as follows:
(1) Calculating the user influence of the data in the mobile short video application domain:
reading short video information issued by a user from an intra-domain information base of a data storage server, and sequentially calculating intra-domain influence I of the user u in the mobile short video application by using the following formula in (u)：
Figure BDA0002621575880000061
The method comprises the following steps that a user u publishes m short videos in a specific time interval, d (i) is the praise number of the ith short video, and s (i) is the forwarding number of the ith short video;
(2) Calculating the user influence of the mobile short video application out-of-domain data:
reading the information of the user's outside-domain associated account number and fan number from the outside-domain information base of the data storage server, and sequentially calculating the outside-domain influence I of the user u in the mobile short video application out (u)：
Figure BDA0002621575880000071
Wherein, the user u has associated account numbers in n out-of-domain platforms, which are respectively the out-of-domain platforms p 1 Associated account number u 1 Out-of-domain platform p 2 Associated account number u 2 Out-of-domain platform p n Associated account number u n The number of fans of each associated account is f (u) j ),j＝1,2,...n；
(3) Calculating the total influence of the mobile short video application:
setting the weight of the in-domain influence to be alpha, and the weight of the out-of-domain influence to be 1-alpha, the total influence of the mobile short video application is: i is u ＝α×I in (u)+(1-α)×I out (u)；
(4) Storing the calculation results of the step (1), the step (2) and the step (3) into an influence database of a data storage server;
(5) Acquiring user basic information, user short video information, domain outside platform associated account information and fan number information of an associated account of the latest mobile short video application from a data acquisition server at regular intervals;
(6) Judging the latest user account information acquired in the step (5), wherein the method comprises the following steps;
(6-1) judging the latest user account in the user basic information in the step (5), if the latest user account exists in the domain information base of the data storage server, performing the step (6-2), and if the latest user account does not exist in the domain information base of the data storage server, performing the step (6-6);
(6-2) judging the latest other information in the user basic information in the step (5), wherein the latest other information comprises the account number, nickname, head portrait, gender, birthday, region and user profile of the mobile short-video user, if the latest other information is consistent with the corresponding information stored in the domain information base of the data storage server, performing the step (6-3), and if the latest other information is inconsistent with the corresponding information stored in the domain information base of the data storage server, updating the corresponding information in the domain information base by the latest other information, and performing the step (6-3);
(6-3) judging the latest user short video information obtained in the step (1), if the latest user short video information is consistent with the user short video information stored in the domain information base of the data storage server, performing the step (6-4), and if the latest user short video information is inconsistent with the user short video information stored in the domain information base of the data storage server, updating the user short video information in the domain information base with the latest user short video information, and performing the step (6-4);
(6-4) judging the latest out-of-domain platform associated account information acquired in the step (5), if the latest out-of-domain platform associated account is consistent with corresponding information stored in an out-of-domain information base of the data acquisition server, performing the step (6-5), and if the latest out-of-domain platform associated account is inconsistent with corresponding information stored in the out-of-domain information base of the data acquisition server, updating the out-of-domain platform associated account in the back of the out-of-domain information base by using the latest out-of-domain platform associated account, and performing the step (6-5);
(6-5) judging the fan count information of the latest out-of-domain platform associated account acquired in the step (5), if the fan count information of the latest out-of-domain platform associated account is consistent with corresponding information stored in an out-of-domain information base of the data acquisition server, performing the step (6-6), and if the fan count information of the latest out-of-domain platform associated account is inconsistent with the corresponding information stored in the out-of-domain information base of the data acquisition server, updating fan count information of the out-of-domain platform associated account in the back of the out-of-domain information base by the fan count information of the latest out-of-domain platform associated account, and performing the step (6-7);
(6-6) respectively adding a new entry in an intra-domain information base and an extra-domain information base of the data storage server, recording all newly acquired user basic information, user short video information, extra-domain platform associated account information and fan number information of an associated account in the new entry, and performing the step (6-7);
(6-7) repeating the step (6-1) to the step (6-6) until all the latest user accounts in the user basic information are judged, finishing data acquisition and storage updating, and performing the step (7);
(7) And (4) repeating the steps (1) to (4) according to the updated in-domain information base and the updated out-of-domain information base to complete the updating of the influence database.
In the user influence evaluation system, the system display server is used for reading the numerical value of the influence database from the influence database of the data storage server, designing a display page, and sequencing and displaying the numerical value of the influence and the user short video information from high to low in sequence according to the numerical value of the influence.
The detailed working process of the system of the invention is described as follows:
data acquisition is performed first. Collecting data of the mobile short video application itself (i.e. in-domain data) and data of other mainstream media platforms (i.e. out-of-domain data), comprising the steps of:
and (1-1) data acquisition in the mobile short video application domain. The method comprises the steps of simulating the login of a mobile short video application on a simulator by using a web crawler tool, searching a user account by using a preset keyword, sequentially opening user basic pages in a search list, acquiring user basic information (comprising a user account, a nickname, a head portrait, a gender, a birthday, a region, user profile, fan number, attention number and the like), sequentially opening published short videos on the user basic pages, and acquiring the short video information (comprising short video links, titles, publishing time, approval number, forwarding number and the like) published by the user.
And (1-2) association of the account number in the mobile short video application domain and the account number of the platform outside the domain. And (3) identifying account information of the mobile short video user account on other platforms obtained in the step (1-1) by using a method of basic user attribute similarity, respectively searching account lists with the same nickname in the domain-outside platform by using the nickname in the user basic information obtained in the step (1-1), sequentially opening account pages in the domain-outside platform search list, matching head portraits, genders, birthdays, regions, user profiles and the like in the user basic information obtained in the step (1-1), and recording the account of the domain-outside platform with the most matched content as the associated account of the mobile short video user account on the domain-outside platform.
And (1-3) acquiring data outside the application domain of the mobile short video. And (3) acquiring fan number information of the off-domain platform account number associated in the step (1-2) by using a web crawler tool.
Then data storage, namely storing the acquired data to a corresponding database, comprises the following steps:
and (2-1) storing the user basic information acquired in the step (1-1) and the short video information issued by the user into an intra-domain information base.
And (2-2) storing the information of the associated account outside the domain obtained in the step (1-2) and the information of the number of fans of the platform account outside the domain obtained in the step (1-3) into an information base outside the domain.
And then analyzing the influence, and calculating the user influence of the mobile short video application, wherein the method comprises the following steps of:
(3-1) calculating the influence in the domain. Reading the intra-domain information base, and sequentially calculating the intra-domain influence I of the user u in the mobile short video application in (u). And in a specific time interval, the user u publishes m short videos, wherein the praise number of the ith short video is d (i), and the forwarding number is s (i). Then
Figure BDA0002621575880000091
(3-2) calculating out-of-domain influence. Reading out the out-of-domain information base, and sequentially calculating out-of-domain influence I of the user u in the mobile short video application out (u). The user u has associated account numbers of n out-of-domain platforms, namely an out-of-domain platform p 1 Associated account number u 1 Out-of-domain platform p 2 Associated account number u 2 Out-of-domain platform p n Associated account number u n The number of fans of each associated account is f (u) j ) J =1, 2.. N. Then
Figure BDA0002621575880000092
(3-3) calculating the total influence. The weight of the influence in the domain is alpha, the weight of the influence outside the domain is 1-alpha, and the total influence I u ＝α×I in (u)+(1-α)×I out (u)。
And (3-4) storing the calculation results of (3-1), (3-2) and (3-4) into an influence database.
And then periodically updating the acquired data and calculating the influence, comprising the following steps of:
and (4-1) updating the step (1) to obtain new basic information of the mobile short video application user, short video information, information of the platform correlation account outside the domain, information of the number of fans of the correlation account and the like.
And (4-2) sequentially judging the user account information newly acquired in the step (4-1), and performing the step (4-3). And (4-10) until all the user accounts are judged to be finished.
And (4-3) judging whether the newly acquired user account exists in the intra-domain information base or not, if so, performing (4-4), otherwise, performing (4-9).
And (4-4) judging whether the newly acquired basic information of the user account is consistent with that stored in the domain information base, if so, (4-5), and if not, (4-5) after updating the domain information base.
And (4-5) judging whether the newly acquired user short video information is consistent with that stored in the intra-domain information base, if so, performing (4-6), otherwise, updating the intra-domain information base, and performing (4-6).
And (4-6) judging whether the newly acquired associated account information of the platform outside the domain is consistent with that stored in the information base outside the domain, if so, performing (4-7), and otherwise, updating the information base inside the domain and performing (4-7).
And (4-7) judging whether the fan number information of the newly acquired domain outside platform associated account is consistent with that stored in the domain outside information base or not, if so, performing (4-8), and otherwise, updating the domain inside information base and performing (4-8).
And (4-8) returning to (4-2).
And (4-9) adding newly acquired user account entries in the intra-domain information base and the extra-domain information base respectively, and storing newly acquired user basic information, short video information, extra-domain platform associated account information, fan number information of associated accounts and the like into the newly added entries.
And (4-10) completing the data acquisition and the storage updating.
And (4-11) recalculating (3) according to the updated in-domain information base and the updated out-of-domain information base to complete the updating of the influence database. And finally, designing a display page according to the magnitude of the influence value, sequencing the magnitude of the influence value and the short video information of the user from high to low in sequence according to the magnitude of the influence value, and displaying. .

Claims (5)

1. A user influence evaluation system for mobile short video application is characterized by comprising a data acquisition server, a data storage server, a data analysis server and a system display server; the data acquisition server, the data storage server, the data analysis server and the system display server are connected through a data line; wherein:
the data acquisition server is used for acquiring data in a mobile short video application domain and data outside the mobile short video application domain, wherein the data in the mobile short video application domain and the data outside the mobile short video application domain are both data of a media platform;
the data storage server is used for storing mobile short video application in-domain data and mobile short video application out-of-domain data acquired by the data acquisition server, determining an in-domain account and an out-of-domain account of the mobile short video application, establishing association between the in-domain account and the out-of-domain account, and acquiring fan number information on an out-of-domain platform account based on the association;
the data analysis server is used for calculating the user influence of the mobile short video application according to the data in the mobile short video application domain and the data outside the mobile short video application domain, and updating the acquired data and influence regularly, wherein the step of calculating the user influence of the mobile short video application comprises the following steps:
(1) Calculating the user influence of the data in the mobile short video application domain, wherein the short video information issued by the user is read from the domain information base of the data storage server, and the domain influence I of the user u in the mobile short video application domain is calculated in sequence by using the following formula in (u)：
Figure FDA0003937181050000011
Wherein, the user u publishes m short videos in a specific time interval, d (i) is the praise number of the ith short video, s (i) is the forwarding number of the ith short video,
(2) Calculating the influence of the user on the data outside the domain of the mobile short video application, wherein the information of the associated account number and the fan number outside the domain of the user is read from the information base outside the domain of the data storage server, and the influence I outside the domain of the user u in the mobile short video application is calculated in sequence out (u)：
Figure FDA0003937181050000012
Wherein, the user u has associated account numbers in n out-of-domain platforms, which are respectively the out-of-domain platforms p 1 Associated account number u 1 Out-of-domain platform p 2 Associated account number u 2 Out-of-domain platform p n Associated account number u n The number of fans of each associated account is f (u) j ),j＝1,2,...n，
(3) And calculating the total influence of the mobile short video application, wherein the weight of the influence in the domain is set to be alpha, and the weight of the influence outside the domain is set to be 1-alpha, so that the total influence of the mobile short video application is as follows: I.C. A u ＝α×I in (u)+(1-α)×I out (u)；
And the system display server is used for reading the numerical value of the influence database, designing a display page, and sequencing and displaying the influence numerical value and the user short video information from high to low in sequence according to the influence numerical value.
2. The user influence evaluation system according to claim 1, wherein said data collection server operates as follows:
(1) Collecting data in a user mobile short video application domain:
setting a simulator on the data acquisition server, and simulating the login of the user mobile short video application on the simulator by using a web crawler tool; searching a user account in a mobile short video application of a user by using a preset keyword, sequentially opening a user basic page in a search list of the mobile short video application of the user, and acquiring user basic information from the user basic page, wherein the user basic information comprises the user account, a nickname, a head portrait, a sex, a birthday, a region, a user profile, a fan number and an attention number of the mobile short video;
(2) The method comprises the following steps that a user mobile short video application domain account number and a domain outside platform account number are associated:
according to the similarity of the attributes of basic users, identifying account information of the users outside the mobile short video from the mobile short video user accounts in the step (1), namely platform accounts outside the domain, searching a nickname account list which is the same as the nickname in the basic information of the users in the step (1) from the platform accounts outside the domain, sequentially opening each page in the nickname account list to obtain head portraits, sexes, birthdays, regions and user profiles in the basic information of the users, sequentially matching the head portraits, the sexes, the birthdays, the regions and the user profiles in the basic information of the users acquired from the platform accounts outside the domain with the corresponding information in the step (1), and marking the platform accounts outside the domain with the most matched items as the related accounts of the mobile short video user accounts on the platform outside the domain;
(3) Acquiring data outside a user mobile short video application domain:
and (3) acquiring fan number information on the account number of the platform outside the domain associated in the step (2) by using a web crawler tool.
3. The user influence evaluation system of claim 1, wherein said data storage server operates as follows:
(1) Storing user basic information in user mobile short video application domain data acquired by a data acquisition server and short video information issued by a user into an in-domain information base of a data storage server;
(2) Storing the correlation account number of the mobile short video user account number on the platform outside the domain and the fan number information of the account number on the platform outside the domain, which are acquired by a data acquisition server, into an information base outside the domain;
(3) And storing the total influence of the mobile short video application calculated by the data analysis server into an influence database of the data storage server.
4. The system of claim 1, wherein the data analysis server is configured to calculate the user influence of the mobile short-video application and periodically update the collected data and influence, and further comprising:
(4) Storing the calculation results of the step (1), the step (2) and the step (3) into an influence database of a data storage server;
(5) Acquiring user basic information, user short video information, domain outside platform associated account information and fan number information of an associated account of the latest mobile short video application from a data acquisition server at regular intervals;
(6) Judging the latest user account information acquired in the step (5), wherein the method comprises the following steps;
(6-1) judging the latest user account in the user basic information in the step (5), if the latest user account exists in the domain information base of the data storage server, performing a step (6-2), and if the latest user account does not exist in the domain information base of the data storage server, performing a step (6-6);
(6-2) judging the latest other information in the user basic information in the step (5), wherein the latest other information comprises the account number, nickname, head portrait, gender, birthday, region and user profile of the mobile short-video user, if the latest other information is consistent with the corresponding information stored in the domain information base of the data storage server, performing the step (6-3), and if the latest other information is inconsistent with the corresponding information stored in the domain information base of the data storage server, updating the corresponding information in the domain information base by the latest other information, and performing the step (6-3);
(6-3) judging the latest user short video information obtained in the step (1), if the latest user short video information is consistent with the user short video information stored in the domain information base of the data storage server, performing the step (6-4), and if the latest user short video information is inconsistent with the user short video information stored in the domain information base of the data storage server, updating the user short video information in the domain information base with the latest user short video information, and performing the step (6-4);
(6-4) judging the latest out-of-domain platform associated account information acquired in the step (5), if the latest out-of-domain platform associated account is consistent with corresponding information stored in an out-of-domain information base of the data acquisition server, performing the step (6-5), and if the latest out-of-domain platform associated account is inconsistent with corresponding information stored in the out-of-domain information base of the data acquisition server, updating the out-of-domain platform associated account in the back of the out-of-domain information base by using the latest out-of-domain platform associated account, and performing the step (6-5);
(6-5) judging the fan count information of the latest out-of-domain platform associated account acquired in the step (5), if the fan count information of the latest out-of-domain platform associated account is consistent with corresponding information stored in an out-of-domain information base of the data acquisition server, performing the step (6-6), and if the fan count information of the latest out-of-domain platform associated account is inconsistent with the corresponding information stored in the out-of-domain information base of the data acquisition server, updating fan count information of the out-of-domain platform associated account in the back of the out-of-domain information base by the fan count information of the latest out-of-domain platform associated account, and performing the step (6-7);
(6-6) respectively adding a new entry in an intra-domain information base and an extra-domain information base of the data storage server, recording all newly acquired user basic information, user short video information, extra-domain platform associated account information and fan number information of an associated account in the new entry, and performing the step (6-7);
(6-7) repeating the step (6-1) -the step (6-6) until all the latest user accounts in the user basic information are judged, and updating data acquisition and storage is completed, and then the step (7) is carried out;
(7) And (4) repeating the steps (1) to (4) according to the updated in-domain information base and the updated out-of-domain information base to complete the updating of the influence database.
5. The user influence evaluation system according to claim 1, wherein the system presentation server is configured to read the values of the influence database from the influence database of the data storage server, design a presentation page, and sort and present the values of the influence and the short video information of the user in order from high to low according to the values of the influence.
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