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Identification of Key Nodes in Microblog Networks

  • Lu, Jing (Department of Communication and Information Engineering, Shanghai University, school of Electronics and Information Engineering, Shanghai University of Electric Power) ;
  • Wan, Wanggen (Department of Communication and Information Engineering, Shanghai University)
  • Received : 2015.08.14
  • Accepted : 2015.10.14
  • Published : 2016.02.01

Abstract

A microblog is a service typically offered by online social networks, such as Twitter and Facebook. From the perspective of information dissemination, we define the concept behind a spreading matrix. A new WeiboRank algorithm for identification of key nodes in microblog networks is proposed, taking into account parameters such as a user's direct appeal, a user's influence region, and a user's global influence power. To investigate how measures for ranking influential users in a network correlate, we compare the relative influence ranks of the top 20 microblog users of a university network. The proposed algorithm is compared with other algorithms - PageRank, Betweeness Centrality, Closeness Centrality, Out-degree - using a new tweets propagation model - the Ignorants-Spreaders-Rejecters model. Comparison results show that key nodes obtained from the WeiboRank algorithm have a wider transmission range and better influence.

Acknowledgement

Supported by : National Nature Science Foundation of China

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