Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

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

Authors
Junlong Zhang, Yu Luo
Corresponding Author
Junlong Zhang
Available Online March 2017.
DOI
10.2991/msam-17.2017.68How to use a DOI?
Keywords
social network; centrality; degree centrality; betweenness centrality; closeness centrality
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.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
Series
Advances in Intelligent Systems Research
Publication Date
March 2017
ISBN
978-94-6252-324-1
ISSN
1951-6851
DOI
10.2991/msam-17.2017.68How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Junlong Zhang
AU  - Yu Luo
PY  - 2017/03
DA  - 2017/03
TI  - Degree Centrality, Betweenness Centrality, and Closeness Centrality in Social Network
BT  - Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
PB  - Atlantis Press
SP  - 300
EP  - 303
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-17.2017.68
DO  - 10.2991/msam-17.2017.68
ID  - Zhang2017/03
ER  -