Community detection in civil society online networks: Theoretical guide and empirical assessment
•A typology of meanings of communities in civil society online networks is proposed.•Methodological guidance grounded in substantive social theory is offered.•Very different communities emerge in the same network, depending on the method. Community detection is a fundamental challenge in the analysi...
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| Veröffentlicht in: | Social networks 2019-10, Vol.59, p.120-133 |
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| container_title | Social networks |
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| creator | Stoltenberg, Daniela Maier, Daniel Waldherr, Annie |
| description | •A typology of meanings of communities in civil society online networks is proposed.•Methodological guidance grounded in substantive social theory is offered.•Very different communities emerge in the same network, depending on the method.
Community detection is a fundamental challenge in the analysis of online networks. However, there is a lack of consensus regarding how to accomplish this task in a manner that acknowledges domain-specific, substantive social theory. We develop a typology of what social phenomena communities of hyperlinked actors may signify—topical similarities, ideological associations, strategic alliances, and potential user traffic—and offer recommendations for community detection grounded in these concepts. Testing procedures on a hyperlink network of the food safety movement, we demonstrate that the handling of tie directions and weights as well as algorithm choice influence which communities are ultimately detected in such a network. |
| doi_str_mv | 10.1016/j.socnet.2019.07.001 |
| format | Article |
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| ispartof | Social networks, 2019-10, Vol.59, p.120-133 |
| issn | 0378-8733 1879-2111 |
| language | eng |
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| source | Elsevier ScienceDirect Journals; Sociological Abstracts |
| subjects | Alliances Civil society Cohesive subgroup Community Community detection Computational methods Food Food safety Hyperlink network analysis Internet Social theories Typology |
| title | Community detection in civil society online networks: Theoretical guide and empirical assessment |
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