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Cited by 445

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network

Open access
Zhang, Junlong, Luo, Yu·2017·Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

Abstract

Social network theory is becoming more and more significant in social science, and the centrality measure is underlying this burgeoning theory.In perspective of social network, individuals, organizations, companies etc. are like nodes in the network, and centrality is used to measure these nodes' power, activity, communication convenience and so on.Meanwhile, degree centrality, betweenness centrality and closeness centrality are the popular detailed measurements.This paper presents these 3 centrality in-depth, from principle to algorithm, and prospect good in the future use.

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Metadata

Authors
Zhang, J., & Luo, Y.
Venue
Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
Published
2017
OpenAlex
W2609428401
Cited by
445
References
18
FWCI
3.21
Type
conference paper
Language
en
Open access
gold

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CoChat. (2026). Citation check: Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network. https://app.cochat.ai/papers/10.2991/msam-17.2017.68
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Zhang, J., & Luo, Y. (2017). Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network. Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017). https://doi.org/10.2991/msam-17.2017.68

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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.