People Content Network
Channel: AI Institute at UofSC - #AIISC
Date: 2021-06-12

Network analysis identifies networks of influential users based on static and dynamic features in the who-talks-to-whom interaction network, such as follower count, retweet count and demographics. The network is color coded by user level characteristics such as professional interest (e.g., Medical, Journalism), or sentiment. Networks facilitate analysis of strongly or weakly connected users, which helps in assessing coordination and engagement in the network. Clicking on any user in the network allows you to navigate to their Twitter profile. Additionally, an influencer list is also provided to complement the network that helps to quickly engage with top influential users for different purposes, such as information diffusion, information verification and channeling feedback into the networks for correcting rumors.