A Network Classification Method by using Community Structure

Authors

Xue-Guang Wang, Department of Computer Science, East China University of Political Science and Law, 201620, Shanghai, China\\ Department of Computer Science, University College London (UCL),WC1E 6BT, London, UKFollow

Author Country (or Countries)

UK

Abstract

The social networks are human-centered relationship networks and the research in this field will impact on people’s daily life. The development of the internet and the emergence of the social network sites provide a perfect platform for our research. This paper builds the social networks by large-scale datasets. We confirm and observe that they have several properties and features. We classify them according to the role-to-role connectivity profiles and finds that they are subject to stringy-periphery class.

Recommended Citation

Wang, Xue-Guang (2015) "A Network Classification Method by using Community Structure," Applied Mathematics & Information Sciences: Vol. 09: Iss. 3, Article 10.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol09/iss3/10