On the Behaviour of Deviant Communities in Online Social Networks

Autor: Coletto, M., Luca Maria Aiello, Lucchese, C., Silvestri, F.

Publikováno v: Scopus-Elsevier
ICWSM 2016-Tenth International AAAI Conference on Web and Social Media, pp. 72, Cologne, Germany, 17-20 May 2016
info:cnr-pdr/source/autori:Coletto M.; Aiello L.M.; Lucchese C.; Silvestri F./congresso_nome:ICWSM 2016-Tenth International AAAI Conference on Web and Social Media/congresso_luogo:Cologne, Germany/congresso_data:17-20 May 2016/anno:2016/pagina_da:/pagina_a:72/intervallo_pagine:72

On-line social networks are complex ensembles of inter-linked communities that interact on different topics. Some communities are characterized by what are usually referred to as deviant behaviors, conducts that are commonly considered inappropriate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97ccea53c2ac516fac53dc8dda7d5152
https://doi.org/10.1609/icwsm.v10i1.14726

Misinformation in the loop: the emergence of narratives in online social networks

Autor: Coletto M., Bessi A., Davidescu G. A., Scala A., Quattrociocchi W.

Publikováno v: XI Conference of the Italian Chapter of AIS Digital Innovation and Inclusive Knowledge in Times of Change, Genova, Italy, 21-22/11/2014
info:cnr-pdr/source/autori:Coletto M.; Bessi A.; Davidescu G. A.; Scala A.; Quattrociocchi W./congresso_nome:XI Conference of the Italian Chapter of AIS Digital Innovation and Inclusive Knowledge in Times of Change/congresso_luogo:Genova, Italy/congresso_data:21-22%2F11%2F2014/anno:2014/pagina_da:/pagina_a:/intervallo_pagine

The interlink between information and belief formation and revision is a fundamental aspect of social dynamics. The growth of knowledge fostered by a hyper-connected world together with the unprecedented acceleration of scientific progress has expose

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::338aaf63c401d4f4491b520ea09f952d
http://www.cnr.it/prodotto/i/340371

PHP55 DEVELOPING A PRACTICE -BASED RESEARCH NETWORK (PBRN)TO EVALUATE MULTI-CENTER PHARMACIST-CONDUCTED MEDICATION THERAPY MANAGEMENT PROGRAMS (MTMPS) USING THE ECHO MODEL

Autor: Coletto, M, Pinto, SL

Publikováno v: In Value in Health 2008 11(3):A45-A45

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Electoral predictions with Twitter: A machine-learning approach

Autor: Coletto, M., Lucchese, C., Salvatore Orlando, Perego, R.

Publikováno v: Scopus-Elsevier
6th Italian Information Retrieval Workshop, pp. 1–12, Cagliari, 25/06/2015
info:cnr-pdr/source/autori:Coletto, M.; Lucchese, C.; Orlando, S.; Perego, R./congresso_nome:6th Italian Information Retrieval Workshop/congresso_luogo:Cagliari/congresso_data:25%2F06%2F2015/anno:2015/pagina_da:1/pagina_a:12/intervallo_pagine:1–12

Several studies have shown how to approximately predict public opinion, such as in political elections, by analyzing user activities in blogging platforms and on-line social networks. The task is challenging for several reasons. Sample bias and autom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8feab8c6b650a48ef979afdcbe135278
http://www.scopus.com/inward/record.url?eid=2-s2.0-84938518164&partnerID=MN8TOARS