Social network analysis (SNA) is the process of investigating social structures using networks and graph theory. It characterizes networked structures in terms of nodes or vertex (individual actors, people, or things within the network) and the ties, edges, or links (relationships or interactions) that connect them. I won’t talk too much detail on the SNA theories as you can easily find them on the internet. There are some sources that provide data for SNA such as Stanford and kdnuggets . In this simple analysis, I extract Twitter retweet data using “twitteR” package and analyse network retweet of a certain topic using “igraph” package in R. This tutorial from cosmopolitanvan may help you to replicate this work. As one of the largest social networks on the Internet, Twitter can be used for expanding your business or website's audience. It is free to create an account, it is easy to start tweeting to promote your work or share your ideas and thoughts. Twitter has 284 mil...
“In God we trust. All others must bring data.” – W. Edwards Deming