Detection of human behavior in On-line Social Networks (OSNs) has become a very important challenge for a wide range of appli- cations, such as security, marketing, parent controls and so on, opening a wide range of novel research areas, which have not been fully addressed yet. In this paper, we present a two-stage method for finding unexplained (and potentially anomalous) behaviors in social networks. First, we use Markov chains to automatically learn from the social network graph a number of models of human behaviors (normal behaviors); the second stage applies an activity detection framework based on the concept of possible words to detect all unexplained activities with respect to the well-known behaviors. Some preliminary experiments using Facebook data show the approach efficiency and effectiveness. Copyright © (2014) by Universita Reggio Calabria & Centro di Competenza (ICT-SUD) All rights reserved.

Finding unexplained human behaviors in social networks / Persia, F.; Amato, Flora; Gargiulo, Francesco; Poccia, SILVESTRO ROBERTO; DE SANTO, Aniello. - (2014), pp. 89-96.

Finding unexplained human behaviors in social networks

AMATO, FLORA;GARGIULO, francesco;POCCIA, SILVESTRO ROBERTO;DE SANTO, ANIELLO
2014

Abstract

Detection of human behavior in On-line Social Networks (OSNs) has become a very important challenge for a wide range of appli- cations, such as security, marketing, parent controls and so on, opening a wide range of novel research areas, which have not been fully addressed yet. In this paper, we present a two-stage method for finding unexplained (and potentially anomalous) behaviors in social networks. First, we use Markov chains to automatically learn from the social network graph a number of models of human behaviors (normal behaviors); the second stage applies an activity detection framework based on the concept of possible words to detect all unexplained activities with respect to the well-known behaviors. Some preliminary experiments using Facebook data show the approach efficiency and effectiveness. Copyright © (2014) by Universita Reggio Calabria & Centro di Competenza (ICT-SUD) All rights reserved.
2014
9781634391450
Finding unexplained human behaviors in social networks / Persia, F.; Amato, Flora; Gargiulo, Francesco; Poccia, SILVESTRO ROBERTO; DE SANTO, Aniello. - (2014), pp. 89-96.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/667429
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