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On the Detection of Influential Actors in Social Media
University of Applied Science Ruhr West Bottrop, Germany.
University of Applied Science Ruhr West Bottrop, Germany. (CeLeKT)ORCID iD: 0000-0001-7072-1063
University of Duisburg-Essen, Germany.
University of Duisburg-Essen, Germany.
2015 (English)In: 2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), IEEE Press, 2015, 421-427 p.Conference paper, Published paper (Refereed)
Abstract [en]

Detection of influential actors in social media plays an important role for increasing the quality and efficiency of work and services in many fields such as education, marketing, etc. This work aims to introduce a new approach for the characterization of influential actors in online social media, such as Twitter. We present on a model of influence of an actor that is based on the attractiveness of the actor in terms of the number of other new actors with which he or she has established relations over time. We have used this concept and measure of influence to determine optimal seeds in a simulation of influence maximization using two empirically collected social networks for the underlying graphs.

Place, publisher, year, edition, pages
IEEE Press, 2015. 421-427 p.
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:lnu:diva-51140DOI: 10.1109/SITIS.2015.99OAI: oai:DiVA.org:lnu-51140DiVA: diva2:913495
Conference
International Conference on Signal Image Technology & Internet Based Systems, 23-27 Nov. 2015, Bangkok
Available from: 2016-03-21 Created: 2016-03-21 Last updated: 2016-12-01Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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