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

Nan Zhou; Xiuxiu Zhan; Qiang  Ma; Song  Lin; Jun  Zhang; Zi-Ke  Zhang

doi:10.1007/978-3-319-72150-7_76

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

Nan Zhou, Xiuxiu Zhan, Qiang Ma, Song Lin, Jun Zhang, Zi-Ke Zhang

Multimedia Computing

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

37 Downloads (Pure)

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.

Original language	English
Title of host publication	Complex Networks and Their Applications VI
Subtitle of host publication	Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications)
Editors	C. Cherifi, H. Cherifi, M. Karsai, M. Musolesi
Place of Publication	Cham
Publisher	Springer
Pages	946-954
Number of pages	9
ISBN (Electronic)	978-3-319-72150-7
ISBN (Print)	978-3-319-72149-1
DOIs	https://doi.org/10.1007/978-3-319-72150-7_76
Publication status	Published - 2018
Event	COMPLEX NETWORKS 2017: 6th International Conference on Complex Networks and their Applications - Lyon, France Duration: 29 Nov 2017 → 1 Dec 2017

Publication series

Name	Studies in Computational Intelligence
Publisher	Springer
Volume	689
ISSN (Print)	1860-949X

Conference

Conference	COMPLEX NETWORKS 2017
Country/Territory	France
City	Lyon
Period	29/11/17 → 1/12/17

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.

Keywords

Critical nodes identification
Information diffusion
Source tracing

Access to Document

10.1007/978-3-319-72150-7_76

Zhou2018_Chapter_IdentifyingSpreadingSourcesAndFinal published version, 952 KB

Cite this

Zhou, N., Zhan, X., Ma, Q., Lin, S., Zhang, J., & Zhang , Z.-K. (2018). Identifying Spreading Sources and Influential Nodes of Hot Events on Social Networks. In C. Cherifi, H. Cherifi, M. Karsai, & M. Musolesi (Eds.), Complex Networks and Their Applications VI : Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications) (pp. 946-954). (Studies in Computational Intelligence; Vol. 689). Springer. https://doi.org/10.1007/978-3-319-72150-7_76

Zhou, Nan ; Zhan, Xiuxiu ; Ma, Qiang et al. / Identifying Spreading Sources and Influential Nodes of Hot Events on Social Networks. Complex Networks and Their Applications VI : Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications). editor / C. Cherifi ; H. Cherifi ; M. Karsai ; M. Musolesi. Cham : Springer, 2018. pp. 946-954 (Studies in Computational Intelligence).

@inproceedings{af8888054d4a452181ed8a95a98000a9,

title = "Identifying Spreading Sources and Influential Nodes of Hot Events on Social Networks",

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.",

keywords = "Critical nodes identification, Information diffusion, Source tracing",

author = "Nan Zhou and Xiuxiu Zhan and Qiang Ma and Song Lin and Jun Zhang and Zi-Ke Zhang",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – 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.; COMPLEX NETWORKS 2017 : 6th International Conference on Complex Networks and their Applications ; Conference date: 29-11-2017 Through 01-12-2017",

year = "2018",

doi = "10.1007/978-3-319-72150-7_76",

language = "English",

isbn = "978-3-319-72149-1",

series = "Studies in Computational Intelligence",

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Zhou, N, Zhan, X, Ma, Q, Lin, S, Zhang, J & Zhang , Z-K 2018, Identifying Spreading Sources and Influential Nodes of Hot Events on Social Networks. in C Cherifi, H Cherifi, M Karsai & M Musolesi (eds), Complex Networks and Their Applications VI : Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications). Studies in Computational Intelligence, vol. 689, Springer, Cham, pp. 946-954, COMPLEX NETWORKS 2017, Lyon, France, 29/11/17. https://doi.org/10.1007/978-3-319-72150-7_76

Identifying Spreading Sources and Influential Nodes of Hot Events on Social Networks. / Zhou, Nan; Zhan, Xiuxiu; Ma, Qiang et al.
Complex Networks and Their Applications VI : Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications). ed. / C. Cherifi; H. Cherifi; M. Karsai; M. Musolesi. Cham: Springer, 2018. p. 946-954 (Studies in Computational Intelligence; Vol. 689).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Identifying Spreading Sources and Influential Nodes of Hot Events on Social Networks

AU - Zhou, Nan

AU - Zhan, Xiuxiu

AU - Ma, Qiang

AU - Lin, Song

AU - Zhang, Jun

AU - Zhang , Zi-Ke

N1 - 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.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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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KW - Source tracing

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ER -

Zhou N, Zhan X, Ma Q, Lin S, Zhang J, Zhang ZK. Identifying Spreading Sources and Influential Nodes of Hot Events on Social Networks. In Cherifi C, Cherifi H, Karsai M, Musolesi M, editors, Complex Networks and Their Applications VI : Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications). Cham: Springer. 2018. p. 946-954. (Studies in Computational Intelligence). doi: 10.1007/978-3-319-72150-7_76

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

Abstract

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Keywords

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