Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4945148 | Information Systems | 2017 | 13 Pages |
Abstract
Directed links in social media determine the flow of information and, hence, indicate a user's influence. This paper proposes a novel visual framework to explore Twitter's 'Who Follows Who' relationships, by browsing the friends' network to identify key influencers based on the actual influence of the content they share. We have developed NavigTweet, a visualization tool for the influence-based exploration of Twitter network. NavigTweet embeds a force-directed algorithm to display the graph in a multi-clustered way. To assess the user experience with NavigTweet, we have conducted a pre-release qualitative pilot study. We also report on the study and results of post-release user feedback survey.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Chiara Francalanci, Ajaz Hussain,