Social Network Analysis

  Select any dataset they wish i.e. they can use a readily available dataset they have found online or they can scrape their own data from any website they wish and conduct a social network analysis to identify local and global patterns, locate influential entities and examine network dynamics. They should construct an appropriate graph with nodes and edges and conduct an analysis using appropriate measures (such as degree centrality, for example) and describe the results obtained. Students may wish to use any programming language, I suggest R with NetSci package, Python with NetworkX package or UCINET to conduct the analysis. The report should contain 5,000 words and all the appropriate code and dataset must also be submitted. Please find the detailed description of the report attached below. Here is the description of the course if you want to find more information: https://www.mgmt.ucl.ac.uk/module/msing017-analysis-social-networks