Emergence of online communities: Empirical evidence and theory.
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 thes...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2018-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0205167 |
| _version_ | 1819142791493582848 |
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| author | Yaniv Dover Guy Kelman |
| author_facet | Yaniv Dover Guy Kelman |
| author_sort | Yaniv Dover |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T12:15:58Z |
| format | Article |
| id | doaj.art-004b1981f3884b2e8c3e5193f9b5d043 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-22T12:15:58Z |
| publishDate | 2018-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-004b1981f3884b2e8c3e5193f9b5d0432022-12-21T18:26:07ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-011311e020516710.1371/journal.pone.0205167Emergence of online communities: Empirical evidence and theory.Yaniv DoverGuy KelmanOnline 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.https://doi.org/10.1371/journal.pone.0205167 |
| spellingShingle | Yaniv Dover Guy Kelman Emergence of online communities: Empirical evidence and theory. PLoS ONE |
| title | Emergence of online communities: Empirical evidence and theory. |
| title_full | Emergence of online communities: Empirical evidence and theory. |
| title_fullStr | Emergence of online communities: Empirical evidence and theory. |
| title_full_unstemmed | Emergence of online communities: Empirical evidence and theory. |
| title_short | Emergence of online communities: Empirical evidence and theory. |
| title_sort | emergence of online communities empirical evidence and theory |
| url | https://doi.org/10.1371/journal.pone.0205167 |
| work_keys_str_mv | AT yanivdover emergenceofonlinecommunitiesempiricalevidenceandtheory AT guykelman emergenceofonlinecommunitiesempiricalevidenceandtheory |