2014/04/21 by Gerasimos Razis, Ioannis Anagnostopoulos, Razis, Gerasimos +1 · 1 citation
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Peer-to-Peer Network Technologies #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Spam and Phishing Detection #cs.SI #physics.soc-ph
paper · pdf · doi:10.48550/arxiv.1404.5239
Draft version of paper
arxiv created 2014/04/21 · openalex publication_date 2014/04/21 · arxiv updated 2014/04/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We describe a methodology of rating the influence of a Twitter ac-count in this famous microblogging service. We then evaluate it over real ac-counts, under the belief that influence is not only a matter of quantity (amount of followers), but also a mixture of quality measures that reflect interaction, awareness, and visibility in the social sphere. The authors of this paper have created InfluenceTracker, a publicly available website where anyone can rate and compare the recent activity of any Twitter account.