Identifying Spreading Sources and Influential Nodes of Hot Events on Social Networks

Conference Paper (2018)
Author(s)

Nan Zhou (Hangzhou Normal University)

Xiuxiu Zhan (TU Delft - Multimedia Computing)

Qiang Ma (Hangzhou Normal University)

Song Lin (Hangzhou Normal University)

Jun Zhang (Shanghai Surfing City Information S&T Co. Ltd)

Zi-Ke Zhang (Hangzhou Normal University)

Multimedia Computing
Copyright
© 2018 Nan Zhou, X. Zhan, Qiang Ma, Song Lin, Jun Zhang, Zi-Ke Zhang
DOI related publication
https://doi.org/10.1007/978-3-319-72150-7_76
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 Nan Zhou, X. Zhan, Qiang Ma, Song Lin, Jun Zhang, Zi-Ke Zhang
Multimedia Computing
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
946-954
ISBN (print)
978-3-319-72149-1
ISBN (electronic)
978-3-319-72150-7
Reuse Rights

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Abstract

The rapid development of World Wide Web accelerates information spreading in various ways. Thanks to the emergence of multiple social platforms, some events which are not much attractive in the past can become social hot spots nowadays. In this paper, we study the information diffusion process of “IP MAN3 box office fraud”, which is widely diffused in the largest Chinese microblogging system, namely Sina Weibo, in March 2016. Based on the temporal metric we have proposed, we succeed in finding out the sources of the information, and constructing the panorama of the diffusion process. In addition, a portion of nodes that promote the diffusion are identified by using the node importance algorithms. Finally, the users with abnormal behaviors in the process of event development are identified.

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