Identification of Key Nodes in Microblog Networks. Issue 1 (1st February 2016)

• Record Type: Journal Article
• Authors: Lu, Jing; Wan, Wanggen
• Is Part Of: ETRI journal. Volume 38:Issue 1(2016)
• Page Start: 52
• Page End: 61
• Publication Date: 2016-02-01
• Subjects: WeiboRank algorithm -- centrality measures -- ISR model -- key nodes -- complex networks; Telecommunication -- Periodicals; Electronics -- Periodicals; Electronics; Telecommunication; Periodicals; Periodicals; 621.38205
• DOI: 10.4218/etrij.16.0115.0732
• Languages: English
• ISSNs: 1225-6463

Abstract

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.