The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Predicting positive and negative links in online social networks
Abstract
We study online social networks in which relationships can be either positive (indicating relations such as friendship) or negative (indicating relations such as opposition or antagonism). Such a mix of positive and negative links arise in a variety of online settings; we study datasets from Epinions, Slashdot and Wikipedia. We find that the signs of links in the underlying social networks can be predicted with high accuracy, using models that generalize across this diverse range of sites. These models provide insight into some of the fundamental principles that drive the formation of signed links in networks, shedding light on theories of balance and status from social psychology; they also suggest social computing applications by which the attitude of one user toward another can be estimated from evidence provided by their relationships with other members of the surrounding social network.
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Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
Cited by
Internet Research in Psychology
Gosling, S. D., & Mason, W. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015321 · Cited by 458
Evolution of Cooperation in Multiplex Networks
Gómez-Gardeñes, J., Reinares, I., Arenas, A., & Floría, L. M. (2012) · Scientific Reports · doi:10.1038/srep00620 · Cited by 462
Inferring Social Status and Rich Club Effects in Enterprise Communication Networks
Dong, Y., Tang, J., Chawla, N. V., Lou, T., Yang, Y., & Wang, B. (2015) · PLOS ONE · doi:10.1371/journal.pone.0119446 · Cited by 438
mTrust: discerning multi-faceted trust in a connected world
Tang, J., Gao, H., & Liu, H. (2012) · Proceedings of the fifth ACM international conference on Web search and data mining · doi:10.1145/2124295.2124309 · Cited by 337
Inferring social ties across heterogenous networks
Tang, J., Lou, T., & Kleinberg, J. (2012) · Proceedings of the fifth ACM international conference on Web search and data mining · doi:10.1145/2124295.2124382 · Cited by 289
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Metadata
- Authors
- Leskovec, J., Huttenlocher, D., & Kleinberg, J.
- Venue
- Proceedings of the 19th international conference on World wide web
- Publisher
- ACM
- Published
- 2010-04-26
- Pages
- 641-650
- OpenAlex
- W2073415627
- Cited by
- 1,470
- References
- 1
- FWCI
- 70.15
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Leskovec, J., Huttenlocher, D., & Kleinberg, J. (2010). Predicting positive and negative links in online social networks. Proceedings of the 19th international conference on World wide web. https://doi.org/10.1145/1772690.1772756
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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.
