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Cited by 674

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Influence and correlation in social networks

Anagnostopoulos, Aris, Kumar, Ravi, Mahdian, Mohammad·2008·Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Abstract

In many online social systems, social ties between users play an important role in dictating their behavior. One of the ways this can happen is through social influence, the phenomenon that the actions of a user can induce his/her friends to behave in a similar way. In systems where social influence exists, ideas, modes of behavior, or new technologies can diffuse through the network like an epidemic. Therefore, identifying and understanding social influence is of tremendous interest from both analysis and design points of view.

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Metadata

Authors
Anagnostopoulos, A., Kumar, R., & Mahdian, M.
Venue
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Publisher
ACM
Published
2008-08-24
Pages
7-15
OpenAlex
W2109742433
Cited by
674
References
8
FWCI
33.44
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Influence and correlation in social networks. https://app.cochat.ai/papers/10.1145/1401890.1401897
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Anagnostopoulos, A., Kumar, R., & Mahdian, M. (2008). Influence and correlation in social networks. Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. https://doi.org/10.1145/1401890.1401897

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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.