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Strategies of Success for Social Networks: Mermaids and Temporal Evolution

Author

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  • Massimo Marchiori

    (European Institute for Science, Media and Democracy, 1040 Brussels, Belgium
    Department of Mathematics, University of Padua, 35121 Padua, Italy)

  • Lino Possamai

    (Department of Mathematics, University of Padua, 35121 Padua, Italy)

Abstract

The main goal of this article is to investigate techniques that can quickly lead to successful social systems by boosting network connectivity. This is especially useful when starting new online communities where the aim is to increase the system utilization as much as possible. This aspect is very important nowadays, given the existence of many online social networks available on the web, and the relatively high level of competition. In other words, attracting users’ attention is becoming a major concern, and time is an essential factor when investing money and resources into online social systems. Our study describes an effective technique that deals with this issue by introducing the notion of mermaids, special attractors that alter the normal evolutive behavior of a social system. We analyze how mermaids can boost social networks, and then provide estimations of fundamental parameters that business strategists can take into account in order to obtain successful systems within a constrained budget.

Suggested Citation

  • Massimo Marchiori & Lino Possamai, 2020. "Strategies of Success for Social Networks: Mermaids and Temporal Evolution," Future Internet, MDPI, vol. 12(2), pages 1-30, February.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:2:p:25-:d:316131
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    References listed on IDEAS

    as
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    3. Chengcheng Shao & Giovanni Luca Ciampaglia & Onur Varol & Kai-Cheng Yang & Alessandro Flammini & Filippo Menczer, 2018. "The spread of low-credibility content by social bots," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    4. Lee, In & Shin, Yong Jae, 2018. "Fintech: Ecosystem, business models, investment decisions, and challenges," Business Horizons, Elsevier, vol. 61(1), pages 35-46.
    5. Robert M. Bond & Christopher J. Fariss & Jason J. Jones & Adam D. I. Kramer & Cameron Marlow & Jaime E. Settle & James H. Fowler, 2012. "A 61-million-person experiment in social influence and political mobilization," Nature, Nature, vol. 489(7415), pages 295-298, September.
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