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.
Suggested Reviewers
N/A
Digital Object Identifier (DOI)
http://dx.doi.org/10.12785/amis/090310
Recommended Citation
Wang, Xue-Guang
(2015)
"A Network Classification Method by using Community Structure,"
Applied Mathematics & Information Sciences: Vol. 09
:
Iss.
3
, Article 10.
DOI: http://dx.doi.org/10.12785/amis/090310
Available at:
https://dc.naturalspublishing.com/amis/vol09/iss3/10