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Method for improving accuracy of influence of user generate content (UGC) information of social network

A technology of social networking and influence, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve problems such as deviation of information influence, and achieve the effect of improving accuracy

Active Publication Date: 2014-07-02
BEIJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In view of this, the present invention proposes a method for improving the accuracy of the influence of content information generated by social network users, which effectively solves the problem in the prior art that there is a deviation in the calculation of UGC information influence due to the fact that the keywords of UGC are not separately weighted. defect

Method used

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  • Method for improving accuracy of influence of user generate content (UGC) information of social network
  • Method for improving accuracy of influence of user generate content (UGC) information of social network
  • Method for improving accuracy of influence of user generate content (UGC) information of social network

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Experimental program
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Embodiment 1

[0072] Figure 5 A UGC structure diagram for this embodiment, such as Figure 5 As shown, the UGC includes 4 users: User 1, User 2, User 3, and User 4. User 1 is the information publisher, and the keywords released are A, B, and C; users 2 and 3 respectively reply to user 1 directly, and the keywords posted by user 2 are A, C, D, and the keywords posted by user 3 are B, F; User 4 directly replied to User 2 with the keywords C and F. Interest network community number is represented by r, r 1 = 1, r 2 = 1, r 3 = 2, r 4 = 3; the fan network community number is represented by f, f 1 = 1, f 2 = 2, f 3 = 1, f 4 =3. User 2 and User 4 are fans of the information publisher User 1. In this embodiment, the path coefficients between the various factors in the member participation mechanism are assigned as: a 1 =0.333,a 2 =0.824,a 3 =0.624,a 4 = 0.437. Image 6 Be the flow chart of this embodiment, such as Image 6 shown, including the following steps:

[0073] Step 601: ...

Embodiment 2

[0087] Method Embodiment 1 Taking UGC with less user participation as an example, how to calculate the influence of social network UGC information by the technical solution of the present invention is explained. The program is further explained.

[0088] User information includes a total of 181,841 user IDs, IDs of their fans, IDs of posts published in this forum, and IDs of replies to posts in this forum; post information includes a total of 43,609 post IDs, the serial number of each floor in the post, and the publisher ID and its content. By judging whether the post contains the boutique symbol of the forum administrator, 827 posts are selected from the post information as the manual tagged boutique post set, and the other posts are regarded as the non-fine post collection. Due to the huge amount of data, 9173 posts were randomly selected from the collection of non-excellent posts and 827 artificially marked high-quality posts were mixed into a sample of 10,000 posts, and t...

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Abstract

The invention discloses a method for improving accuracy of influence of user generate content (UGC) information of the social network. The UGC comprises M keywords and involves N users. The method includes steps of establishing a social network UGC member involvement mechanism, building a fan network unauthorized oriental map according to user fans relation of the UGC and dividing communities; setting up an interest network authorized non-oriental map according to user replay relation of the UGC and dividing communities; calculating social influence of a user X according to relevant degrees of various influence factors of the member involvement mechanism; calculating social influence of a keyword K published by the user X according to the formula, the m is propagation times of the keywords on the user X, if the m=0, SKX=0; calculating comprehensive social influence of the keyword K in the UGC according to the formula; calculating the sum of the comprehensive social influences of the M keywords in the UGC and obtaining information influence INF of the UGC.

Description

technical field [0001] The invention relates to information monitoring technology, in particular to a method for improving the influence accuracy of content information generated by social network users. Background technique [0002] The Internet has entered the era of web2.0, where every user is free to express their opinions. Many important content or news are first generated through User Generated Content (UGC, User Generate Content), and then widely disseminated through social networks, and finally in a certain within a specific social circle or even society as a whole. Therefore, research on UGC influence plays a very important role in information collection, monitoring, and prediction. However, because the number of UGCs is too large and the speed of increase is very fast, it is difficult to deal with all UGCs. It is necessary to screen out UGCs with good quality and high influence for research and utilization. Therefore, more and more attention has been paid to the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/3334
Inventor 李蕾林鑫王博远
Owner BEIJING UNIV OF POSTS & TELECOMM