SPOT 1.0: Scoring Suspicious Profiles on Twitter

Charles Perez (1) , Marc Lemercier (1) , B. Birregah (1) , Alain Corpel (1)

1 ERA - Environnement de Réseaux Autonomes

Everyday more than fifty million messages are generated by about two hundred million profiles on Twitter. Some users attempt to exploit the success of this micro logging platform and its relative freedom to perform malicious actions that can lead to identity or data theft. This work aims to propose a framework to assess suspicious behavior on Twitter. We present a tool developed for Scoring Suspicious Profiles On Twitter (SPOT 1.0) through a three-dimensional indicator that involves the degree of aggressiveness, the visibility and the level of danger.

Keywords: network analysis; Twitter; suspicious profiles; support vector machine; aggressiveness; visibility; level of danger

Domains: Computer Science [cs]; Networking and Internet Architecture [cs.NI]

Charles Perez, Marc Lemercier, B. Birregah, Alain Corpel. SPOT 1.0: Scoring Suspicious Profiles on Twitter. 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011), Jul 2011, Kaohsiung City, Taiwan. pp.377-381. ⟨hal-02274766⟩