Influential Actors Detection Using Attractiveness Model in Social Media Networks

  • Ziyaad Qasem
  • Marc Jansen
  • Tobias Hecking
  • H.Ulrich Hoppe
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 693)


Detection of influential actors in social media such as Twitter or Facebook can play a major role in improving the marketing efficiency, gathering opinions on particular topics, predicting the trends, etc. The current study aspires to extend our formal defined T measure to present a new measure aiming to recognize the actors influence by the strength of attracting new attractors into a networked community. Therefore, we propose a model of an actor influence based on the attractiveness of the actor in relation to the number of other attractors with whom he/she has established connections over time. Using an empirically collected social network for the underlying graph, we have applied the above-mentioned measure of influence in order to determine optimal seeds in a simulation of influence maximization.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Ziyaad Qasem
    • 1
  • Marc Jansen
    • 1
  • Tobias Hecking
    • 2
  • H.Ulrich Hoppe
    • 2
  1. 1.Computer Science InstituteUniversity of Applied Science Ruhr WestBottropGermany
  2. 2.Dept. of Computer Science and Applied Cognitive ScienceUniversity of Duisburg-EssenDuisburgGermany

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