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Modeling relationship strength in online social networks
Abstract
Previous work analyzing social networks has mainly focused on binary friendship relations. However, in online social networks the low cost of link formation can lead to networks with heterogeneous relationship strengths (e.g., acquaintances and best friends mixed together). In this case, the binary friendship indicator provides only a coarse representation of relationship information. In this work, we develop an unsupervised model to estimate relationship strength from interaction activity (e.g., communication, tagging) and user similarity. More specifically, we formulate a link-based latent variable model, along with a coordinate ascent optimization procedure for the inference. We evaluate our approach on real-world data from Facebook, showing that the estimated link weights result in higher autocorrelation and lead to improved classification accuracy. 1
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Cited by
Edge Weight Prediction in Weighted Signed Networks
Kumar, S., Spezzano, F., Subrahmanian, V. S., & Faloutsos, C. (2016) · 2016 IEEE 16th International Conference on Data Mining (ICDM) · doi:10.1109/icdm.2016.0033 · Cited by 498
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
Influence analysis in social networks: A survey
Peng, S., Zhou, Y., Cao, L., Yu, S., Niu, J., & Jia, W. (2018) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2018.01.005 · Cited by 308
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
Social influence modeling using information theory in mobile social networks
Peng, S., Yang, A., Cao, L., Yu, S., & Xie, D. (2017) · Information Sciences · doi:10.1016/j.ins.2016.08.023 · Cited by 200
Metadata
- Authors
- Xiang, R., Neville, J., & Rogati, M.
- Venue
- Proceedings of the 19th international conference on World wide web
- Publisher
- ACM
- Published
- 2010-04-26
- Pages
- 981-990
- OpenAlex
- W2166293769
- Cited by
- 660
- References
- 0
- FWCI
- 41.20
- Type
- conference paper
- Language
- en
- Open access
- closed
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