Social Network Analysis: Statistical Model, Community Detection and Friend Recommendation
- Author(s): Yu, Xiaolu;
- Advisor(s): Zhou, Qing;
- et al.
In recent years, Social Network Service (SNS) is a novel, popular way to make friends and
convey information online. Therefore, the analysis of network data has attracted a lot of
attention. It is an area that is rapidly growing, both with Statistics and Computer Science.
This paper rst provides a summary of statistical methods used in network data analysis,
including basic denitions, measurements, and descriptive statistics. We then introduce the
Exponential Random Graph Model to t network data. Secondly, we dig into a more specic
area of network analysis: Community Detection. We discuss two dierent methods to explore
the community stucture, one is Louvain algorithm and the other is Mixed Membership
Stochastic Blockmodels. After that, we combine the community identication with a two-
stage user similarity algorithm to build a friend recommendation method. In the empirical
study section, we apply this method to a real-world dataset and evaluate its performace
through specic measurements.