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The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Social influence analysis in large-scale networks

Tang, Jie, Sun, Jimeng, Wang, Chi, Yang, Zi·2009·Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Abstract

In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the friends have strong influence on one's daily life. How to differentiate the social influences from different angles(topics)? How to quantify the strength of those social influences? How to estimate the model on real large networks?

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Metadata

Authors
Tang, J., Sun, J., Wang, C., & Yang, Z.
Venue
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Publisher
ACM
Published
2009-06-28
Pages
807-816
OpenAlex
W2107559689
Cited by
927
References
25
FWCI
39.50
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Social influence analysis in large-scale networks. https://app.cochat.ai/papers/10.1145/1557019.1557108
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Tang, J., Sun, J., Wang, C., & Yang, Z. (2009). Social influence analysis in large-scale networks. Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. https://doi.org/10.1145/1557019.1557108

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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.