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Cited by 299

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Event-based social networks: linking the online and offline social worlds

Liu, Xingjie, He, Qi, Tian, Yuanyuan, Lee, Wang-Chien, McPherson, John, Han, Jiawei·2012·Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining

Abstract

Newly emerged event-based online social services, such as Meetup and Plancast, have experienced increased popularity and rapid growth. From these services, we observed a new type of social network - event-based social network (EBSN). An EBSN does not only contain online social interactions as in other conventional online social networks, but also includes valuable offline social interactions captured in offline activities. By analyzing real data collected from Meetup, we investigated EBSN properties and discovered many unique and interesting characteristics, such as heavy-tailed degree distributions and strong locality of social interactions.

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Metadata

Authors
Liu, X., He, Q., Tian, Y., Lee, W.-C., McPherson, J., & Han, J.
Venue
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Publisher
ACM
Published
2012-08-12
Pages
1032-1040
OpenAlex
W2127526138
Cited by
299
References
27
FWCI
19.83
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Event-based social networks: linking the online and offline social worlds. https://app.cochat.ai/papers/10.1145/2339530.2339693
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Liu, X., He, Q., Tian, Y., Lee, W.-C., McPherson, J., & Han, J. (2012). Event-based social networks: linking the online and offline social worlds. Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. https://doi.org/10.1145/2339530.2339693

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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.