Using attractiveness model for actors ranking in social media networks

  • 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

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Metadaten
Author:Ziyaad Qasem, Marc Jansen, Tobias Hecking, Ulrich H. Hoppe
URN:urn:nbn:de:hbz:1393-opus4-1688
URL:https://link.springer.com/article/10.1186/s40649-017-0040-8
DOI:https://doi.org/10.1186/s40649-017-0040-8
ISSN:2197-4314
Parent Title (English):Computational Social Networks
Document Type:Article
Language:English
Year of Completion:2017
Release Date:2019/04/03
Volume:4
Issue:1
First Page:1
Last Page:15
Institutes:Fachbereich 1 - Institut Informatik
DDC class:000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International