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Cited by 838

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Geographic routing in social networks

Open access
Liben-Nowell, David, Novak, Jasmine, Kumar, Ravi, Raghavan, Prabhakar, Tomkins, Andrew·2005·Proceedings of the National Academy of Sciences

Abstract

We live in a “small world,” where two arbitrary people are likely connected by a short chain of intermediate friends. With scant information about a target individual, people can successively forward a message along such a chain. Experimental studies have verified this property in real social networks, and theoretical models have been advanced to explain it. However, existing theoretical models have not been shown to capture behavior in real-world social networks. Here, we introduce a richer model relating geography and social-network friendship, in which the probability of befriending a particular person is inversely proportional to the number of closer people. In a large social network, we show that one-third of the friendships are independent of geography and the remainder exhibit the proposed relationship. Further, we prove analytically that short chains can be discovered in every network exhibiting the relationship.

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Metadata

Authors
Liben-Nowell, D., Novak, J., Kumar, R., Raghavan, P., & Tomkins, A.
Venue
Proceedings of the National Academy of Sciences
Published
2005-08-04
Volume
102
Issue
33
Pages
11623-11628
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2162450625
Cited by
838
References
2
FWCI
18.25
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Geographic routing in social networks. https://app.cochat.ai/papers/10.1073/pnas.0503018102
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Liben-Nowell, D., Novak, J., Kumar, R., Raghavan, P., & Tomkins, A. (2005). Geographic routing in social networks. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0503018102

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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.