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Emergence of online communities: Empirical evidence and theory

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  • Yaniv Dover
  • Guy Kelman

Abstract

Online communities, which have become an integral part of the day-to-day life of people and organizations, exhibit much diversity in both size and activity level; some communities grow to a massive scale and thrive, whereas others remain small, and even wither. In spite of the important role of these proliferating communities, there is limited empirical evidence that identifies the dominant factors underlying their dynamics. Using data collected from seven large online platforms, we observe a relationship between online community size and its activity which generally repeats itself across platforms: First, in most platforms, three distinct activity regimes exist—one of low-activity and two of high-activity. Further, we find a sharp activity phase transition at a critical community size that marks the shift between the first and the second regime in six out of the seven online platforms. Essentially, we argue that it is around this critical size that sustainable interactive communities emerge. The third activity regime occurs above a higher characteristic size in which community activity reaches and remains at a constant and higher level. We find that there is variance in the steepness of the slope of the second regime, that leads to the third regime of saturation, but that the third regime is exhibited in six of the seven online platforms. We propose that the sharp activity phase transition and the regime structure stem from the branching property of online interactions.

Suggested Citation

  • Yaniv Dover & Guy Kelman, 2018. "Emergence of online communities: Empirical evidence and theory," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-17, November.
  • Handle: RePEc:plo:pone00:0205167
    DOI: 10.1371/journal.pone.0205167
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    Cited by:

    1. Sanz-Blas, Silvia & Buzova, Daniela & Pérez-Ruiz, Pilar, 2021. "Building relational worth in an online social community through virtual structural embeddedness and relational embeddedness," Technological Forecasting and Social Change, Elsevier, vol. 162(C).

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