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Cited by 274

The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.

Social Movement Organizational Collaboration: Networks of Learning and the Diffusion of Protest Tactics, 1960–1995

Wang, Dan J., Soule, Sarah A.·2012·American Journal of Sociology

Abstract

This article examines the diffusion of protest tactics among social movement organizations (SMOs) through their collaboration in protest groups. Using a longitudinal data set of SMO protest activity between 1960 and 1995, the authors adapt novel methods for dealing with two forms of selection and measurement bias in network analysis: (i) the mechanism that renders some SMOs more likely to select into collaboration and (ii) the notion that diffusion is an artifact of homophily or indirect learning rather than influence. The authors find that collaboration is an important channel of tactical diffusion and that SMOs with broader tactical repertoires adopt more tactics via their collaboration with other SMOs, but only up to a point. Engaging in more collaboration also makes SMOs more active transmitters and adopters of new tactics. Finally, initial overlap in respective tactical repertoires facilitates the diffusion of tactics among collaborating SMOs.

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Metadata

Authors
Wang, D. J., & Soule, S. A.
Venue
American Journal of Sociology
Published
2012-05
Volume
117
Issue
6
Pages
1674-1722
ISSN
  • 0002-9602 (ISSN-L)
  • 1537-5390
OpenAlex
W1990113261
Cited by
274
References
92
FWCI
39.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Social Movement Organizational Collaboration: Networks of Learning and the Diffusion of Protest Tactics, 1960–1995. https://app.cochat.ai/papers/10.1086/664685
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Wang, D. J., & Soule, S. A. (2012). Social Movement Organizational Collaboration: Networks of Learning and the Diffusion of Protest Tactics, 1960–1995. American Journal of Sociology. https://doi.org/10.1086/664685

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.