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Smart Objects and Technologies for Social Good. Third International Conference, GOODTECHS 2017, Pisa, Italy, November 29-30, 2017, Proceedings

Research Article

The Analysis of Influential Users Evolution in Microblogging Social Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-76111-4_26,
        author={Giambattista Amati and Simone Angelini and Giorgio Gambosi and Gianluca Rossi and Paola Vocca},
        title={The Analysis of Influential Users Evolution in Microblogging Social Networks},
        proceedings={Smart Objects and Technologies for Social Good. Third International Conference, GOODTECHS 2017, Pisa, Italy, November 29-30, 2017, Proceedings},
        proceedings_a={GOODTECHS},
        year={2018},
        month={3},
        keywords={Graph analysis Social media Twitter graph Retweet graph Graph dynamics Centrality},
        doi={10.1007/978-3-319-76111-4_26}
    }
    
  • Giambattista Amati
    Simone Angelini
    Giorgio Gambosi
    Gianluca Rossi
    Paola Vocca
    Year: 2018
    The Analysis of Influential Users Evolution in Microblogging Social Networks
    GOODTECHS
    Springer
    DOI: 10.1007/978-3-319-76111-4_26
Giambattista Amati1,*, Simone Angelini1,*, Giorgio Gambosi2,*, Gianluca Rossi2,*, Paola Vocca3,*
  • 1: Fondazione Ugo Bordoni
  • 2: University of Rome “Tor Vergata”
  • 3: University of Tuscia
*Contact email: gba@fub.it, sangelini@fub.it, giorgio.gambosi@uniroma2.it, gianluca.rossi@uniroma2.it, vocca@unitus.it

Abstract

In this paper, we study the evolution of the most influential users in the microblogging social network platform Twitter. To this aim, we consider the proposed in [3] and partially analyzed in [2, 4]. The model of the evolution of the Twitter social network is based on the retweet relationship. In a DRGs, once a tweet has been retweeted the last time all the edges representing this tweet are deleted, to model the decay of tweet life in the social platform.

Keywords
Graph analysis Social media Twitter graph Retweet graph Graph dynamics Centrality
Published
2018-03-08
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-76111-4_26
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