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Rumor Spreading and Security Monitoring in Complex Networks

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Book cover Computational Social Networks (CSoNet 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9197))

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Abstract

Rumor spreading is a typical phenomenon which poses security threats. Therefore, it is necessary to study the evolution mechanism of rumor spreading in complex networks. Considering the hesitating state in rumor spreading, we supplement fence-sitter group on existing rumor spreading models, then propose a novel SIFR rumor spreading model. The mean-field equations are derived to describe the dynamics of the rumor spreading in complex networks. In order to identify effective rumor control strategies, we further analyze the networks structure and propose an algorithm based on the topology potential theory to search the center nodes and divide the network.

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Authors and Affiliations

  1. National Key Laboratory of Science and Technology on Communication, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Qiyi Han, Hong Wen & Mengyin Ren

  2. Department of Electrical Engineering, Universidad de Chile, Santiago, Chile

    Jinsong Wu

Authors
  1. Qiyi Han
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  2. Hong Wen
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  3. Jinsong Wu
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  4. Mengyin Ren
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Corresponding author

Correspondence to Hong Wen .

Editor information

Editors and Affiliations

  1. Computer and Information Science and Engineering, University of Florida, Gainesville, Florida, USA

    My T. Thai

  2. Towsen University, Towson, Maryland, USA

    Nam P. Nguyen

  3. Chinese Academy of Sciences, Beijing, China

    Huawei Shen

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© 2015 Springer International Publishing Switzerland

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Han, Q., Wen, H., Wu, J., Ren, M. (2015). Rumor Spreading and Security Monitoring in Complex Networks. In: Thai, M., Nguyen, N., Shen, H. (eds) Computational Social Networks. CSoNet 2015. Lecture Notes in Computer Science(), vol 9197. Springer, Cham. https://doi.org/10.1007/978-3-319-21786-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-21786-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21785-7

  • Online ISBN: 978-3-319-21786-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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