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Cited by 493

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Dynamic Network Visualization

Moody, James, McFarland, Daniel, Bender‐deMoll, Skye·2005·American Journal of Sociology

Abstract

Increased interest in longitudinal social networks and the recognition that visualization fosters theoretical insight create a need for dynamic network visualizations, or network “movies.” This article confronts theoretical questions surrounding the temporal representations of social networks and technical questions about how best to link network change to changes in the graphical representation. The authors divide network movies into (1) static flip books, where node position remains constant but edges cumulate over time, and (2) dynamic movies, where nodes move as a function of changes in relations. Flip books are particularly useful in contexts where relations are sparse. For more connected networks, movies are often more appropriate. Three empirical examples demonstrate the advantages of different movie styles. A new software program for creating network movies is discussed in the appendix.

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Metadata

Authors
Moody, J., McFarland, D., & Bender‐deMoll, S.
Venue
American Journal of Sociology
Published
2005-01
Volume
110
Issue
4
Pages
1206-1241
ISSN
  • 0002-9602 (ISSN-L)
  • 1537-5390
OpenAlex
W21202130
Cited by
493
References
63
FWCI
12.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dynamic Network Visualization. https://app.cochat.ai/papers/10.1086/421509
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Moody, J., McFarland, D., & Bender‐deMoll, S. (2005). Dynamic Network Visualization. American Journal of Sociology. https://doi.org/10.1086/421509

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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.