Causal evidence for social group sizes from Wikipedia editing data
Fuente:
arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866917905102274560 |
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| author | Burgess, M. Dunbar, R. I. M. |
| author_facet | Burgess, M. Dunbar, R. I. M. |
| contents | Human communities have self-organizing properties in which specific Dunbar Numbers may be invoked to explain group attachments. By analyzing Wikipedia editing histories across a wide range of subject pages, we show that there is an emergent coherence in the size of transient groups formed to edit the content of subject texts, with two peaks averaging at around $N=8$ for the size corresponding to maximal contention, and at around $N=4$ as a regular team. These values are consistent with the observed sizes of conversational groups, as well as the hierarchical structuring of Dunbar graphs. We use the Promise Theory model of bipartite trust to derive a scaling law that fits the data and may apply to all group size distributions, when based on attraction to a seeded group process. In addition to providing further evidence that even spontaneous communities of strangers are self-organizing, the results have important implications for the governance of the Wikipedia commons and for the security of all online social platforms and associations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_00595 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Causal evidence for social group sizes from Wikipedia editing data Burgess, M. Dunbar, R. I. M. Social and Information Networks Multiagent Systems Adaptation and Self-Organizing Systems Physics and Society K.4.2; C.2.6 Human communities have self-organizing properties in which specific Dunbar Numbers may be invoked to explain group attachments. By analyzing Wikipedia editing histories across a wide range of subject pages, we show that there is an emergent coherence in the size of transient groups formed to edit the content of subject texts, with two peaks averaging at around $N=8$ for the size corresponding to maximal contention, and at around $N=4$ as a regular team. These values are consistent with the observed sizes of conversational groups, as well as the hierarchical structuring of Dunbar graphs. We use the Promise Theory model of bipartite trust to derive a scaling law that fits the data and may apply to all group size distributions, when based on attraction to a seeded group process. In addition to providing further evidence that even spontaneous communities of strangers are self-organizing, the results have important implications for the governance of the Wikipedia commons and for the security of all online social platforms and associations. |
| title | Causal evidence for social group sizes from Wikipedia editing data |
| topic | Social and Information Networks Multiagent Systems Adaptation and Self-Organizing Systems Physics and Society K.4.2; C.2.6 |
| url | https://arxiv.org/abs/2402.00595 |