13 April 2018 A new centrality measure for identifying influential nodes in social networks
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Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 106962R (2018) https://doi.org/10.1117/12.2309872
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria
Abstract
The identification of central nodes has been a key problem in the field of social network analysis. In fact, it is a measure that accounts the popularity or the visibility of an actor within a network. In order to capture this concept, various measures, either sample or more elaborate, has been developed. Nevertheless, many of “traditional” measures are not designed to be applicable to huge data. This paper sets out a new node centrality index suitable for large social network. It uses the amount of the neighbors of a node and connections between them to characterize a “pivot” node in the graph. We presented experimental results on real data sets which show the efficiency of our proposal.
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Delel Rhouma, Delel Rhouma, Lotfi Ben Romdhane, Lotfi Ben Romdhane, } "A new centrality measure for identifying influential nodes in social networks", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106962R (13 April 2018); doi: 10.1117/12.2309872; https://doi.org/10.1117/12.2309872
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