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A method for mining topic influence individuals based on multi-relational networks

A relationship network and relationship technology, applied in the field of topical influence individual mining in Weibo, can solve the problems of ignoring the multi-relational network link structure, and it is difficult to describe the relative influence of users.

Active Publication Date: 2016-01-20
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In reference 2 "[2] PalA, CountsS. Identifying topical authorities in microblogs [C] / / Procofthe4thACMInternationalConferenceonWebSearchandDataMining.NewYork,NY:ACM,2011:45-54", Pal et al. consider Twitter multiple attributes of users in the network, but ignores the link structure of multi-relational networks, making it difficult to describe the relative influence of users in the entire network

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  • A method for mining topic influence individuals based on multi-relational networks
  • A method for mining topic influence individuals based on multi-relational networks
  • A method for mining topic influence individuals based on multi-relational networks

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Embodiment Construction

[0027] A preferred embodiment of the present invention will be described in detail below with reference to the accompanying drawings, taking a microblog application as an example.

[0028] In order to comprehensively measure the user's influence on a certain topic level, the present invention considers various network relationship types in microblogs. E.g figure 1 As shown in (a), the influence of user B on user A is manifested in four relationship types: 1) user A uses similar "RTB" or "viaB" in his blog post, and reposts user B's blog post; 2) user A A used similar "B" in his blog post, and replied to user B's blog post; 3) User A copied user B's blog post without explicitly using reposting tags such as "RTB" or "viaB"; 4) User A reads User B's blog post. exist figure 1 (a) shows 4 different types of directed edges (A, B) between users A and B to represent the above four types of relationships respectively. figure 1 (b) shows another example multi-relational network, whi...

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Abstract

The invention discloses a method for determining whether passages issued by network users have copy relations or not. The method includes: acquiring time probability distribution obeyed by time intervals of two passages with clear forwarding relations; deducing time probability distribution obeyed by time intervals of two passages with copy relations according to the acquired time probability distribution; setting a range which needs to be satisfied by time intervals of the two passages with copy relations according to the deduced time probability distribution; for optional two passages whose time intervals are in the range, calculation the similarity of the two; and determining whether the two passages have copy relations according to the similarity.

Description

technical field [0001] The invention relates to the technical field of network data mining, and in particular to the mining technology of topic influence individuals in microblogs. Background technique [0002] Twitter-like microblogging services have recently developed rapidly as a new communication medium. According to statistics from the 29th China Internet Report: By the end of December 2011, the actual number of microblog users in my country reached 250 million, an increase of 296.0% over the end of the previous year. , the utilization rate of Internet users is 48.7%. Different from other Facebook-like social network services, the social network relationship of Weibo service is one-way, and users can follow them without other user permissions. For example, the social network in Twitter is formed by the relationship of following (following). People who a user follows are called friends of the user; people who follow a user are called followers of the user. ) will appear...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08G06F17/30
Inventor 丁兆云贾焰杨树强周斌韩伟红李爱平韩毅李莎莎
Owner NAT UNIV OF DEFENSE TECH