Presentation 2018-01-18
On the Effectiveness of Influence Measures for Identifying Influencers and their Correlations in Social Networks
Shumpei Takemura, Sho Tsugawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Identifying influential nodes in social networks is one of the important research topics in the field of network science. Although various methods have been proposed for identifying influential nodes, studies for the comprehensive evaluation of the various methods have been still limited. In this paper, we evaluate the effectiveness of methods for identifying influential nodes by investigating the actual influence of the identified nodes. Actual influence is obtained from the history of information diffusion on social networks. Our results show that the methods based on Collective Influence (CI), degree centrality, and k-core index are relatively effective. Moreover, we analyze the difference among influential nodes identified with the methods by analyzing the correlations of the noderankings obtained by them. Consequently, we show that the correlations between the node ranking based on CI and the rankings based on other methods are low, which indicates that influence estimation based on CI is greatly different from estimation based on other methods.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Centrality measures / Influence maximization algorithm / Social network / Complex networks
Paper # CQ2017-88
Date of Issue 2018-01-11 (CQ)

Conference Information
Committee CQ
Conference Date 2018/1/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English) NII
Topics (in Japanese) (See Japanese page)
Topics (in English) Video/Voice Services Quality, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, etc.
Chair Takanori Hayashi(Hiroshima Inst. of Tech.)
Vice Chair Hideyuki Shimonishi(NEC) / Jun Okamoto(NTT)
Secretary Hideyuki Shimonishi(NTT) / Jun Okamoto(Keio Univ.)
Assistant Kenko Ota(Nippon Inst. of Tech.) / Norihiro Fukumoto(KDDI Research) / Ryo Yamamoto(UEC)

Paper Information
Registration To Technical Committee on Communication Quality
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On the Effectiveness of Influence Measures for Identifying Influencers and their Correlations in Social Networks
Sub Title (in English)
Keyword(1) Centrality measures
Keyword(2) Influence maximization algorithm
Keyword(3) Social network
Keyword(4) Complex networks
1st Author's Name Shumpei Takemura
1st Author's Affiliation University of Tsukuba(UoT)
2nd Author's Name Sho Tsugawa
2nd Author's Affiliation University of Tsukuba(UoT)
Date 2018-01-18
Paper # CQ2017-88
Volume (vol) vol.117
Number (no) CQ-386
Page pp.pp.17-22(CQ),
#Pages 6
Date of Issue 2018-01-11 (CQ)