Article

Human Flesh Search Model Incorporating Network Expansion and GOSSIP with Feedback

Authors:

Laibin YanAuthors Info & Claims

DS-RT '09: Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications

Pages 82 - 88

https://doi.org/10.1109/DS-RT.2009.36

Published: 25 October 2009 Publication History

Abstract

With the development of on-line forum technology and the pervasive participation of the public, the Human Flesh Search is becoming an arising phenomenon which makes a great impact on our daily life. There arose big research interests in social, legal issues resulted from HFS, however, very little work has been conducted to understand how it comes into being and how it dynamically evolves. This paper proposes a modeling and simulation approach incorporating network expansion and GOSSIP propagation with feedback for a better understanding of the human flesh search phenomenon. Based on the acquisition and analysis of the netizens’ surfing behavior data, the evolution of the HFS is modeled as a network growth processwith proper dynamic input, which is characterized by heavy-tail and burst-oriented distribution, modeling as a Weibulloid process. Then, an improved GOSSIP model with feedback is proposed to represent the information propagation, processing and aggregation during the HFS. New insights for HFS are gained through a set of simulation experiments.

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Wang TZhang QLiu ZLiu WWen D(2012)On social computing research collaboration patternsFrontiers of Computer Science in China10.5555/2125163.21251886:1(122-130)Online publication date: 1-Feb-2012
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Human Flesh Search Model Incorporating Network Expansion and GOSSIP with Feedback

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cover image ACM Conferences

DS-RT '09: Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications

October 2009

242 pages

ISBN:9780769538686

Sponsors

SIGSIM: ACM Special Interest Group on Simulation and Modeling

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IEEE Computer Society

United States

Publication History

Published: 25 October 2009

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Cited By

Hettiachchi DSchaekermann MMcKinney TLease M(2021)The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can HelpProceedings of the ACM on Human-Computer Interaction10.1145/34760735:CSCW2(1-26)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3476073
Wang TZhang QLiu ZLiu WWen D(2012)On social computing research collaboration patternsFrontiers of Computer Science in China10.5555/2125163.21251886:1(122-130)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.5555/2125163.2125188
Sun C(2012)Something Old, Something New, Something Borrowed, Something BlueInternational Journal of People-Oriented Programming10.4018/ijpop.20120101032:1(53-73)Online publication date: 1-Jan-2012
https://dl.acm.org/doi/10.4018/ijpop.2012010103
Cheng LZhang LWang JContractor NUzzi BMacy MNejdl W(2012)A study of human flesh search with epidemic modelsProceedings of the 4th Annual ACM Web Science Conference10.1145/2380718.2380727(67-73)Online publication date: 22-Jun-2012
https://dl.acm.org/doi/10.1145/2380718.2380727
Wang BYao YHou BLiao DChen D(2010)Knowledge Aggregation in Human Flesh SearchProceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing10.1109/GreenCom-CPSCom.2010.145(825-830)Online publication date: 18-Dec-2010
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Hou BYao YWang BLiao D(2010)SUPE-NetProceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing10.1109/GreenCom-CPSCom.2010.121(628-635)Online publication date: 18-Dec-2010
https://dl.acm.org/doi/10.1109/GreenCom-CPSCom.2010.121

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