eprintid: 2196
rev_number: 10
eprint_status: archive
userid: 6
dir: disk0/00/00/21/96
datestamp: 2014-05-13 09:07:10
lastmod: 2014-07-07 10:27:41
status_changed: 2014-05-13 09:07:10
type: article
metadata_visibility: show
creators_name: Caldarelli, Guido
creators_name: Chessa, Alessandro
creators_name: Pammolli, Fabio
creators_name: Pompa, Gabriele
creators_name: Puliga, Michelangelo
creators_name: Riccaboni, Massimo
creators_name: Riotta, Gianni
creators_id: guido.caldarelli@imtlucca.it
creators_id: alessandro.chessa@imtlucca.it
creators_id: f.pammolli@imtlucca.it
creators_id: gabriele.pompa@imtlucca.it
creators_id: michelangelo.puliga@imtlucca.it
creators_id: massimo.riccaboni@imtlucca.it
creators_id: 
title: A multi-level geographical study of Italian political elections from Twitter Data
ispublished: pub
subjects: HB
subjects: JC
subjects: QA75
divisions: EIC
full_text_status: public
abstract: In this paper we present an analysis of the behavior of Italian Twitter users during national political elections. We monitor the volumes of the tweets related to the leaders of the various political parties and we compare them to the elections results. Furthermore, we study the topics that are associated with the co-occurrence of two politicians in the same tweet. We cannot conclude, from a simple statistical analysis of tweet volume and their time evolution, that it is possible to precisely predict the election outcome (or at least not in our case of study that was characterized by a “too-close-to-call” scenario). On the other hand, we found that the volume of tweets and their change in time provide a very good proxy of the final results. We present this analysis both at a national level and at smaller levels, ranging from the regions composing the country to macro-areas (North, Center, South).
date: 2014-05
date_type: published
publication: PloS One
volume: 9
number: 5
publisher: Public Library of Science
pagerange: e95809
id_number: doi:10.1371/journal.pone.0095809
refereed: TRUE
issn: 1932-6203
official_url: http://dx.doi.org/10.1371/journal.pone.0095809
citation:   Caldarelli, Guido and Chessa, Alessandro and Pammolli, Fabio and Pompa, Gabriele and Puliga, Michelangelo and Riccaboni, Massimo and Riotta, Gianni  A multi-level geographical study of Italian political elections from Twitter Data.  PloS One, 9 (5).  e95809.  ISSN 1932-6203      (2014)  
document_url: http://eprints.imtlucca.it/2196/1/journal.pone.0095809.pdf