The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Microscopic evolution of social networks
Abstract
We present a detailed study of network evolution by analyzing four large online social networks with full temporal information about node and edge arrivals. For the first time at such a large scale, we study individual node arrival and edge creation processes that collectively lead to macroscopic properties of networks. Using a methodology based on the maximum-likelihood principle, we investigate a wide variety of network formation strategies, and show that edge locality plays a critical role in evolution of networks. Our findings supplement earlier network models based on the inherently non-local preferential attachment.
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Citations
Cites
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
On the evolution of user interaction in facebook
Viswanath, B., Mislove, A., Cha, M., & Gummadi, K. P. (2009) · Proceedings of the 2nd ACM workshop on Online social networks · doi:10.1145/1592665.1592675 · Cited by 1,461
Relational learning via latent social dimensions
Tang, L., & Liu, H. (2009) · Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1557019.1557109 · Cited by 799
Cited by
Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293
Supervised random walks: predicting and recommending links in social networks
Backstrom, L., & Leskovec, J. (2011) · Proceedings of the fourth ACM international conference on Web search and data mining · doi:10.1145/1935826.1935914 · Cited by 982
Self-citationCrandall, D. J., Backstrom, L., Huttenlocher, D., & Kleinberg, J. (2009) · Proceedings of the 18th international conference on World wide web · doi:10.1145/1526709.1526812 · Cited by 769
Self-citationHuman mobility, social ties, and link prediction
Wang, D., Pedreschi, D., Song, C., Giannotti, F., & Barabasi, A.-L. (2011) · Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2020408.2020581 · Cited by 665
Exploiting place features in link prediction on location-based social networks
Scellato, S., Noulas, A., & Mascolo, C. (2011) · Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2020408.2020575 · Cited by 522
Metadata
- Authors
- Leskovec, J., Backstrom, L., Kumar, R., & Tomkins, A.
- Venue
- Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
- Publisher
- ACM
- Published
- 2008-08-24
- Pages
- 462-470
- OpenAlex
- W2151078464
- Cited by
- 728
- References
- 3
- FWCI
- 70.03
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Leskovec, J., Backstrom, L., Kumar, R., & Tomkins, A. (2008). Microscopic evolution of social networks. Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. https://doi.org/10.1145/1401890.1401948
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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.
