Microblog opinion leader identification method and system based on user comprehensive influence
A technology of opinion leaders and identification methods, applied in the computer field, can solve the problems of not fully considering the influence of the global structure of the network and the influence of the accuracy of opinion leaders identification.
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[0063] On the Sina Weibo platform, people use the "@" symbol to mark and forward or mark people who want to remind to check the message. When the content of “@ID” is included in the microblog published by people, no matter whether it is an original microblog or a reposted microblog, it means that the user (ID) has some kind of connection with the commenter, and the two are related. In particular, for reposting microblogs, since people repost all the previous reposting relationships, for example, user A reposts user B’s original microblog, and user C reposts the microblog reposted by A, then user C’s A repost will contain the IDs of users A and B. Such a transitive relationship may lead to an overly dense relationship network, and will cause many unrelated people to be connected. Therefore, in order to avoid such mistakes, this method only selects the user ID that appears after " / / @" in each forwarded microblog, that is, only records the person with the highest degree of intima...
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[0072] The user relationship network of Weibo is a relatively stable social relationship system formed by information interaction between Weibo users and users. The information interaction ability indicates the pivotal position of the user in the global relational network structure, which can promote the sharing of network information. As a key node in the user relationship network, opinion leaders are nodes with strong information interaction capabilities. In order to better reflect the global influence of users in the relationship network, it is necessary to measure the user's information interaction ability. The user's global influence calculation includes: node V i and V j represents two different nodes in the network G, and the common neighbor nodes between them are represented by Com(v i ,v j )Expressed as:
[0073] Com(v i ,v j )=Nei(v i )∩Nei(v j )
[0074] where Nei(v i ) and Nei(v j ) represent node V respectively i and V j all neighbor nodes of . This...
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