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)

Abstract

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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