Statistical physics of social network.

• Main Author: Liu, Vicky Mei Ting.
• Other Authors: Chew Lock Yue
• Format: Final Year Project
• Language: English
• Published: 2009
• Subjects: DRNTU::Science::Mathematics::Discrete mathematics::Combinatorics
• Online Access: http://hdl.handle.net/10356/19002
• Institution: Nanyang Technological University

A complex network is a network graph with topological mapping features. There is a wide range of systems in nature and society that can be described by complex networks. For example, The World Wide Web is a huge virtual network of Web pages connected by hyperlinks and the Internet is a complex network of routers and computers linked by several wireless and physical cable links. In this project, virtual social networks on the Internet such as the Friendster Social network on the WWW will be studied. By constructing these networks through data gathered from the internet, the statistical physics of the resulting network topology will be explored. In particular, different network types and network properties such as Average Path Length, Clustering Coefficients and Degree Distributions will be studied. Finally the objectives and scope of the project will be presented.