Microblog hype group discovering method based on maximum frequent item set mining

A technology of maximum frequent itemsets and discovery methods, applied in special data processing applications, network data retrieval, instruments, etc., to achieve the effects of easy operation, improved efficiency, and reduced intersection times

Active Publication Date: 2014-07-16
THE PLA INFORMATION ENG UNIV
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Problems solved by technology

[0009] In view of the above situation, in order to overcome the defects of the prior art, the purpose of the present invention is to provide a method for discovering

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  • Microblog hype group discovering method based on maximum frequent item set mining
  • Microblog hype group discovering method based on maximum frequent item set mining
  • Microblog hype group discovering method based on maximum frequent item set mining

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[0024] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0025] Depend on figure 1 Given, the present invention includes hype microblog transaction library, maximum frequent item set mining and maximum frequent item set merging part, hype microblog transaction library construction module is mainly responsible for collecting data and preprocessing, constructing transaction database D; maximum frequent item set The mining module first screens the candidate maximum frequent itemsets based on the binary search method, and then mines the maximum frequent itemsets MFS from the transaction database D based on the iterative intersection method; the maximum frequent itemsets merging module mainly merges the MFSs to restore the real The hype group, the specific steps are:

[0026] 1) Collect hype Weibo samples

[0027] The collection of hype microblog samples is the first step to realize the ...

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Abstract

The invention relates to a microblog hype group discovering method based on maximum frequent item set mining. Microblog hype groups are effectively discovered, and false and malicious hype is avoided. The method comprises the steps that the correlation of a hype microblog is used as a clue, and an account set participating in hype microblog transmission is obtained based on the crawler technology or a microblog public open platform; single microblogs are used as transactions, accounts participating in microblog transmission are used as items, and a hype microblog transaction database is built; for transactions, corresponding to a microblog set to be detected, in the transaction database, the maximum frequent item sets contained in the transactions are found, the overlapping ratio of the maximum frequent item sets is calculated, small-scale item sets are merged into large item sets, the intersection frequency is reduced, whether the transactions comprise a certain item or not is judged through the binary search method when intersection is obtained between the transactions, the maximum frequent item set mining efficiency is improved, and microblog hype groups are discovered. The microblog hype group discovering method based on maximum frequent item set mining is simple, and can accurately discover malicious microblog hype groups and avoid negative influences on the society.

Description

technical field [0001] The invention relates to the field of microblog public opinion monitoring, in particular to a method for discovering microblog hype groups based on maximum frequent item set mining. Background technique [0002] As a new form of social media, Weibo has the functions of blogging, media and instant messaging. The immediacy, grassroots, mobility, and interactivity of Weibo itself make it a natural carrier for the spread of Internet public opinion. In online public opinion, Weibo not only becomes the center and channel of public opinion dissemination, but also participates in the formation, development and guidance of public opinion. [0003] Weibo dissemination is a double-edged sword: on the one hand, Weibo provides a platform for rapid response to information disclosure in some social events, which makes up for the shortcomings of traditional media and other network tools to a certain extent; , Weibo is different from traditional news media in that it...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/951
Inventor 刘琰张进罗军勇罗向阳董雨辰陈静常斌
Owner THE PLA INFORMATION ENG UNIV
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