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Influential Actors Detection Using Attractiveness Model in Social Media Networks

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Complex Networks & Their Applications V (COMPLEX NETWORKS 2016 2016)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 693))

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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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Correspondence to Ziyaad Qasem .

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Qasem, Z., Jansen, M., Hecking, T., Hoppe, H. (2017). Influential Actors Detection Using Attractiveness Model in Social Media Networks. In: Cherifi, H., Gaito, S., Quattrociocchi, W., Sala, A. (eds) Complex Networks & Their Applications V. COMPLEX NETWORKS 2016 2016. Studies in Computational Intelligence, vol 693. Springer, Cham. https://doi.org/10.1007/978-3-319-50901-3_10

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  • DOI: https://doi.org/10.1007/978-3-319-50901-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50900-6

  • Online ISBN: 978-3-319-50901-3

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