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Users structure and behavior on an online social network during a political protest

Author

Listed:
  • Morales, A.J.
  • Losada, J.C.
  • Benito, R.M.

Abstract

Over the past years, new technologies and specially online social networks have penetrated into the world’s population at an accelerated pace. In this paper we analyze collected data from the web application Twitter, in order to describe the structure and dynamics of the emergent social networks, based on complexity science. We focused on a Venezuelan protest that took place exclusively by Twitter during December, 2010. We found a community structure with highly connected hubs and three different kinds of user behavior that determine the information flow dynamics. We noticed that even though online social networks appear to be a pure social environment, traditional media still holds loads of influence inside the network.

Suggested Citation

  • Morales, A.J. & Losada, J.C. & Benito, R.M., 2012. "Users structure and behavior on an online social network during a political protest," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5244-5253.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:21:p:5244-5253
    DOI: 10.1016/j.physa.2012.05.015
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    Citations

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    Cited by:

    1. Borondo, J. & Morales, A.J. & Benito, R.M. & Losada, J.C., 2015. "Multiple leaders on a multilayer social media," Chaos, Solitons & Fractals, Elsevier, vol. 72(C), pages 90-98.
    2. G. Olivares & J. P. Cárdenas & J. C. Losada & J. Borondo, 2019. "Opinion Polarization during a Dichotomous Electoral Process," Complexity, Hindawi, vol. 2019, pages 1-9, February.
    3. Borondo, J. & Morales, A.J. & Benito, R.M. & Losada, J.C., 2014. "Mapping the online communication patterns of political conversations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 403-413.
    4. Urman, Aleksandra & Ho, Justin Chun-ting & Katz, Stefan, 2020. "“No Central Stage”: Telegram-based activity during the 2019 protests in Hong Kong," SocArXiv ueds4, Center for Open Science.
    5. Liu, Xiaoyang & He, Daobing & Liu, Chao, 2018. "Modeling information dissemination and evolution in time-varying online social network based on thermal diffusion motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 456-476.

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