Social Network Analysis (SNA) is the process of investigating social structures through the use of networks and graph theory.^[1] It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links (relationships or interactions) that connect them.

Network Analysis with Gephi Tutorial Page

https://libguides.brown.edu/gephi 

JSON to CSV format

https://github.com/Big-Data-Analytics-Lab-USF/Covid/blob/main/Processing/complete_table_all.R

Building Edge lists

A data format example is below: Source is an account that retweeted the Target account. Target account is the one who initiated the original tweet that was retweeted by Source. Weight is frequency of retweets Source -> Target. retweet is "Directed network."

These R scripts lead you files we've done in the past to create edge list files using Twitter retweet relation with edge, and frequency as the weight of the edge. Once the edge list is created, we import the file using gephi (https://gephi.org/ ) for further network analysis. 

https://github.com/Big-Data-Analytics-Lab-USF/Covid/blob/main/Analysis/NetworkAnalysis/adjaceny_list_csv_maker.R

OR

https://github.com/Big-Data-Analytics-Lab-USF/Covid-Vaccines/blob/main/scripts/network_analysis_edgelist_creator.R 

Network Metrics

• degree
• density
• betweenness
• egocentricity
• closeness

Tools

• Gephi
• R

Related

External Resources

• Methods for Network Analysis