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
Author: | Ziyaad Qasem, Marc Jansen, Tobias Hecking, Heinz Ulrich Hoppe |
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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): | Creative Commons - CC BY - Namensnennung 4.0 International |