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