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SPOT 1.0: Scoring Suspicious Profiles on Twitter

Charles Perez 1 Marc Lemercier 1 Babiga Birregah 1 Alain Corpel 1
1 ERA - Environnement de Réseaux Autonomes
ICD - Institut Charles Delaunay
Abstract : 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
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Conference papers
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https://hal-utt.archives-ouvertes.fr/hal-02274766
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Friday, August 30, 2019 - 10:59:44 AM
Last modification on : Monday, September 16, 2019 - 4:35:41 PM

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  • HAL Id : hal-02274766, version 1

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Charles Perez, Marc Lemercier, Babiga 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⟩

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