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.