Agenda

Mauro Coletto, DAIS

Abstract:
On-line social networks are complex ensembles of inter-linked communities that interact on different topics. Some communities are characterised by what are usually referred to as deviant behaviours, conducts that are commonly considered inappropriate with respect to the society’s norms or moral standards. Eating disorders, drug use, and adult content consumption are just a few examples. It is commonly believed that such deviant networks are niche, isolated social groups, whose activity is well separated from the mainstream social-media life. According to this assumption, research studies have mostly considered them in isolation. In this work we focused on adult content consumption networks, which are present in many on-line social media and in the Web in general. We found that few small and densely connected communities are responsible for most of the content production. Differently from previous work, we studied how such communities interact with the whole social network. We aim at setting the basis to study deviant communities in context. (Joint work with Luca Maria Aiello and Claudio Lucchese)

Bio Sketch:
Mauro Coletto is a new research fellow at DAIS, Ca' Foscari University, and he is also a Ph.D. candidate (XXIX cycle) at IMT - Institute for Advanced Studies (Lucca) in the track “Computer, Decision, and Systems Science”. He graduated in Information Management Engineering at the University of Udine in 2012. During his doctoral studies at IMT, he has worked in collaboration with CNR (ISTI-HPC) on the following research topics: Web Mining, Online Social Networks, and Social Media Analysis. His Ph.D. thesis is concerned with the development of a framework for automatically extracting knowledge about topics, opinions of users, and dynamics of polarised communities in Online Social Networks.