@inproceedings{23251d2d711344db8000605de79c78d7,
title = "Extracting graph topological information and users{\textquoteright} opinion",
abstract = "This paper focuses on the role of social relations within social media in the formation of public opinion. We propose to combine the detection of the users{\textquoteright} stance towards BREXIT, carried out by content analysis of Twitter messages, and the exploration of their social relations, by relying on social network analysis. The analysis of a novel Twitter corpus on the BREXIT debate, developed for our purposes, shows that like-minded individuals (sharing the same opinion towards the specific issue) are likely belonging to the same social network community. Moreover, opinion driven homophily is exhibited among neighbours. Interestingly, users{\textquoteright} stance shows diachronic evolution.",
keywords = "BREXIT, Community detection, Stance detection",
author = "Mirko Lai and Marcella Tambuscio and Viviana Patti and Giancarlo Ruffo and Paolo Rosso",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 8th International Conference of the CLEF Association, CLEF 2017 ; Conference date: 11-09-2017 Through 14-09-2017",
year = "2017",
doi = "10.1007/978-3-319-65813-1_10",
language = "English",
isbn = "9783319658124",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "112--118",
editor = "Lorraine Goeuriot and Julio Gonzalo and Jones, {Gareth J.F.} and Liadh Kelly and Thomas Mandl and Linda Cappellato and Nicola Ferro and Seamus Lawless",
booktitle = "Experimental IR Meets Multilinguality, Multimodality, and Interaction - 8th International Conference of the CLEF Association, CLEF 2017, Proceedings",
address = "Germany",
}