Wednesday, November 11, 2015
To visualize Twitter users online interactions, we have to extract tweets, and separate the mentioned/ replied users from the tweet texts. This Python script uses Twitter REST API can extract mentioned/ replied users from tweets, and store the results in a CSV file. To maximize the usage of the REST API, the since_id and max_id are used to retrieve more tweets from a single Timeline.
Once the mentioned/ replied users are separated, we can use Networkx to create a network graph in which the mentioned/ replied users and the author of each single tweet are connected. This created network can be exported into Gephi for further visualization and analysis. A simple script is available here.