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Instantaneous success and influence promotion in cyberspace — how do they occur?

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  • Chen, Ya
  • Li, Xue
  • Zhang, Richong
  • Huang, Zi-Gang
  • Lai, Ying-Cheng

Abstract

The popularity of online social networks has opened a window through which the dynamical evolution of human behaviors in cyberspace may be studied. In cyberspace, individuals interact with each other through online social networks (OSNs) whose structure co-evolves with the dynamical process. A phenomenon in OSNs is “instantaneous” success, where the influence of an individual can be suddenly and greatly promoted after his/her messages have been reposted by influential users in the network. Using data crawled from Weibo in China, we identify two key ingredients contributing to this phenomenon: the fitness of the message and the position that its author occupies in the network. We articulate a five-state model for co-evolution dynamics on OSNs to explain instantaneous success and permanent influence promotion. Our study provides fundamental insights into human behaviors in cyberspace that is playing an increasingly important role in society, economy, and national defense.

Suggested Citation

  • Chen, Ya & Li, Xue & Zhang, Richong & Huang, Zi-Gang & Lai, Ying-Cheng, 2020. "Instantaneous success and influence promotion in cyberspace — how do they occur?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    • Handle: RePEc:eee:phsmap:v:556:y:2020:i:c:s0378437120303629
    DOI: 10.1016/j.physa.2020.124725
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    References listed on IDEAS

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    1. Liu, Jian-Guo & Ren, Zhuo-Ming & Guo, Qiang, 2013. "Ranking the spreading influence in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 4154-4159.
    2. Luca Pappalardo & Filippo Simini & Salvatore Rinzivillo & Dino Pedreschi & Fosca Giannotti & Albert-László Barabási, 2015. "Returners and explorers dichotomy in human mobility," Nature Communications, Nature, vol. 6(1), pages 1-8, November.
    3. Xiao-Yong Yan & Wen-Xu Wang & Zi-You Gao & Ying-Cheng Lai, 2017. "Universal model of individual and population mobility on diverse spatial scales," Nature Communications, Nature, vol. 8(1), pages 1-9, December.
    4. Li, Dandan & Ma, Jing & Tian, Zihao & Zhu, Hengmin, 2015. "An evolutionary game for the diffusion of rumor in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 51-58.
    5. Riccardo Gallotti & Armando Bazzani & Sandro Rambaldi & Marc Barthelemy, 2016. "A stochastic model of randomly accelerated walkers for human mobility," Nature Communications, Nature, vol. 7(1), pages 1-7, November.
    6. Filippo Simini & Marta C. González & Amos Maritan & Albert-László Barabási, 2012. "A universal model for mobility and migration patterns," Nature, Nature, vol. 484(7392), pages 96-100, April.
    7. X. J. Ma & W.-X. Wang & Y.-C. Lai & Z. Zheng, 2010. "Information explosion on complex networks and control," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 76(1), pages 179-183, July.
    8. Filippo Simini & Amos Maritan & Zoltán Néda, 2013. "Human Mobility in a Continuum Approach," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-8, March.
    9. Sanja Šćepanović & Igor Mishkovski & Pan Hui & Jukka K Nurminen & Antti Ylä-Jääski, 2015. "Mobile Phone Call Data as a Regional Socio-Economic Proxy Indicator," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-15, April.
    10. Anastasios Noulas & Salvatore Scellato & Renaud Lambiotte & Massimiliano Pontil & Cecilia Mascolo, 2012. "A Tale of Many Cities: Universal Patterns in Human Urban Mobility," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-10, May.
    11. Yihui Ren & Mária Ercsey-Ravasz & Pu Wang & Marta C. González & Zoltán Toroczkai, 2014. "Predicting commuter flows in spatial networks using a radiation model based on temporal ranges," Nature Communications, Nature, vol. 5(1), pages 1-9, December.
    12. D. Brockmann & L. Hufnagel & T. Geisel, 2006. "The scaling laws of human travel," Nature, Nature, vol. 439(7075), pages 462-465, January.
    13. Maxime Lenormand & Sylvie Huet & Floriana Gargiulo & Guillaume Deffuant, 2012. "A Universal Model of Commuting Networks," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-7, October.
    Full references (including those not matched with items on IDEAS)

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