DocumentCode :
3742126
Title :
On the Detection of Influential Actors in Social Media
Author :
Ziyaad Qasem;Marc Jansen;Tobias Hecking;H. Ulrich Hoppe
Author_Institution :
Comput. Sci. Inst., Univ. of Appl. Sci. Ruhr West, Bottrop, Germany
fYear :
2015
Firstpage :
421
Lastpage :
427
Abstract :
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.
Keywords :
"Media","Twitter","Integrated circuit modeling","Silicon","Message systems","Standards"
Publisher :
ieee
Conference_Titel :
Signal-Image Technology & Internet-Based Systems (SITIS), 2015 11th International Conference on
Type :
conf
DOI :
10.1109/SITIS.2015.99
Filename :
7400597
Link To Document :
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