Twitter-Based Analysis of the Dynamics of Collective Attention to Political Parties

@article{Eom2015TwitterBasedAO,
  title={Twitter-Based Analysis of the Dynamics of Collective Attention to Political Parties},
  author={Young ho Eom and Michelangelo Puliga and Jasmina Smailovic and Igor Mozetic and Guido Caldarelli},
  journal={PLoS ONE},
  year={2015},
  volume={10}
}
Large-scale data from social media have a significant potential to describe complex phenomena in the real world and to anticipate collective behaviors such as information spreading and social trends. One specific case of study is represented by the collective attention to the action of political parties. Not surprisingly, researchers and stakeholders tried to correlate parties' presence on social media with their performances in elections. Despite the many efforts, results are still… 

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