A Multi-Level Geographical Study of Italian Political Elections from Twitter Data (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• A Multi-Level Geographical Study of Italian Political Elections from Twitter Data (Articolo in rivista) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1371/journal.pone.0095809 (literal)

Alternative label

• Guido Caldarelli (1,2,3,4), Alessandro Chessa (1,4), Fabio Pammolli (1,5), Gabriele Pompa (1), Michelangelo Puliga (1,4), Massimo Riccaboni (1,6), Gianni Riotta (1,7) (2014)
  A Multi-Level Geographical Study of Italian Political Elections from Twitter Data
  in PloS one
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Guido Caldarelli (1,2,3,4), Alessandro Chessa (1,4), Fabio Pammolli (1,5), Gabriele Pompa (1), Michelangelo Puliga (1,4), Massimo Riccaboni (1,6), Gianni Riotta (1,7) (literal)

Pagina inizio

• e95809 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0095809 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 9 (literal)

Rivista

• PloS one (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 11 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 5 (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• (1) IMT Institute for Advanced Studies, Lucca, Italy (2) Istituto dei Sistemi Complessi (ISC), Department of Physics, Università \"Sapienza\", Roma, Italy (3) London Institute for Mathematical Sciences, London, United Kingdom (4) Linkalab, Complex Systems Computational Laboratory, Cagliari, Italy (5) Center for Polymer Studies and Department of Physics, Boston University, Boston, Massachusetts, United States of America (6) Department of Managerial Economics, Strategy and Innovation, Katholieke Universiteit Leuven, Leuven, Belgium (7) Department of French and Italian, Princenton Univerity, Princeton, New Jersey, United States of America (literal)

Titolo

• A Multi-Level Geographical Study of Italian Political Elections from Twitter Data (literal)

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). (literal)

Prodotto di

• Progetto CRISIS-Lab- CdS 109.000 (PI.P03.001.001) (Modulo)

Autore CNR

• GUIDO CALDARELLI (Persona)

Incoming links:

Prodotto

• Progetto CRISIS-Lab- CdS 109.000 (PI.P03.001.001) (Modulo)

Autore CNR di

• GUIDO CALDARELLI (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• PloS one (Rivista)