Social Network Analysis and its broader applications

Ayat Hatem
Assistant Professor Dept of Computer Science, CSU Stanislaus

Stevenson Hall 1300
11:00 AM - 11:50 AM

Social Network Analysis (SNA) is the process of analyzing structures in social networks using graph theory techniques.  It does not only span social networks but also covers different types of networks such as, biological, disease, and transportation networks. Networks help us visualize data and extract relationships between the different data points.  
 
In this talk, we will cover the basics of the SNA field. We will talk about the different tools existing, e.g., networkx and gephi, to analyze the different networks and which one to use for which situation. Afterwards, we will go over an example for how information could be extracted using SNA techniques. Additionally, we will cover biological networks analysis and the similarities between the social and biological networks.