Share Email Print
cover

Proceedings Paper

A new centrality measure for identifying influential nodes in social networks
Author(s): Delel Rhouma; Lotfi Ben Romdhane
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 13 April 2018
PDF: 8 pages
Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106962R (13 April 2018); doi: 10.1117/12.2309872
Show Author Affiliations
Delel Rhouma, Higher Institute of Computer Science and Telecom (Tunisia)
Univ. of Sousse (Tunisia)
Lotfi Ben Romdhane, Higher Institute of Computer Science and Telecom (Tunisia)
Univ. of Sousse (Tunisia)


Published in SPIE Proceedings Vol. 10696:
Tenth International Conference on Machine Vision (ICMV 2017)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev; Jianhong Zhou, Editor(s)

© SPIE. Terms of Use
Back to Top