Creating Beautiful Twitter Graphs with Python

Demarcus Cousins, a recent pickup, has already made an effort to follow his new teammates (…or already followed them).You could take things a step further and employ the vast array of graph algorithms built into igraph and to answer questions like:What player in the NBA is the most central?Who has the best followers-following differential?What cliques exist in the NBA?What team has the highest density (of edges), what team has the lowest?I’ll be refactoring and updating my code sporadically on GitHub, but the gist of what I’ve demonstrated is there already, as well as the full NBA graph.I anxiously await what beautiful graphs you create from Twitter!.I’d love it if you shared them with me.kublasean/nba-twitter-analysisMaking graphs of player-player connections on twitter – kublasean/nba-twitter-analysisgithub.com. More details

Leave a Reply