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Paper Abstract and Keywords
Presentation 2018-01-18 10:45
On the Effectiveness of Influence Measures for Identifying Influencers and their Correlations in Social Networks
Shumpei Takemura, Sho Tsugawa (UoT)
Abstract (in Japanese) (See Japanese page) 
(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 node
rankings 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) 
(in English) Centrality measures / Influence maximization algorithm / Social network / Complex networks / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 386, CQ2017-88, pp. 17-22, Jan. 2018.
Paper # CQ2017-88 
Date of Issue 2018-01-11 (CQ) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee CQ  
Conference Date 2018-01-18 - 2018-01-19 
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. 
Paper Information
Registration To CQ 
Conference Code 2018-01-CQ 
Language Japanese 
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  
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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)
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Speaker
Date Time 2018-01-18 10:45:00 
Presentation Time 25 
Registration for CQ 
Paper # IEICE-CQ2017-88 
Volume (vol) IEICE-117 
Number (no) no.386 
Page pp.17-22 
#Pages IEICE-6 
Date of Issue IEICE-CQ-2018-01-11 


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