@article{QasemJansenHeckingetal.2017,
  author    = {Ziyaad Qasem and Marc Jansen and Tobias Hecking and Heinz Ulrich Hoppe},
  title     = {Using attractiveness model for actors ranking in social media networks},
  series   = {Computational Social Networks},
  volume    = {4},
  number    = {1},
  issn      = {2197-4314},
  doi       = {10.1186/s40649-017-0040-8},
  url       = {https://nbn-resolving.org/urn:nbn:de:hbz:1393-opus4-1688},
  pages     = {1 -- 15},
  year      = {2017},
  abstract  = {Background: Influential actors detection in social media such as twitter or Facebook can play a major role in gathering opinions on particular topics, improving the market - ing efficiency, predicting the trends, etc. Proposed methods: This work aims to extend our formally defined T measure to present a new measure aiming to recognize the actor’s influence by the strength of attracting new important actors into a networked community. Therefore, we propose a model of the actor’s 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. Results and conclusions: 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. We study our extended measure in the context of information diffusion because this measure is based on a model of actors who attract others to be active members in a community. This corresponds to the idea of the IC simulation model which is used to identify the most important spreaders in a set of actors. Keywords: Actor influence, Social media networks, Twitter, IC model, Information diffusion, Independent cascade model, T measure},
  language  = {en}
}