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Cited by 1,723

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Empirical Analysis of an Evolving Social Network

Kossinets, Gueorgi, Watts, Duncan J.·2006·Science

Abstract

Social networks evolve over time, driven by the shared activities and affiliations of their members, by similarity of individuals' attributes, and by the closure of short network cycles. We analyzed a dynamic social network comprising 43,553 students, faculty, and staff at a large university, in which interactions between individuals are inferred from time-stamped e-mail headers recorded over one academic year and are matched with affiliations and attributes. We found that network evolution is dominated by a combination of effects arising from network topology itself and the organizational structure in which the network is embedded. In the absence of global perturbations, average network properties appear to approach an equilibrium state, whereas individual properties are unstable.

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Metadata

Authors
Kossinets, G., & Watts, D. J.
Venue
Science
Published
2006-01-06
Volume
311
Issue
5757
Pages
88-90
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2049607688
Cited by
1,723
References
3
FWCI
46.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Empirical Analysis of an Evolving Social Network. https://app.cochat.ai/papers/10.1126/science.1116869
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Kossinets, G., & Watts, D. J. (2006). Empirical Analysis of an Evolving Social Network. Science. https://doi.org/10.1126/science.1116869

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.