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Endorsement Deduction and Ranking in Social Networks

Authors:
Francesc Sebe
Hebert Perez-Roses
Josep Maria Ribo

Keywords: Social networks, Expertise retrieval, LinkedIn, ResearchGate, PageRank

Abstract:
Some social networks, such as LinkedIn and ResearchGate, allow user endorsements for specific skills. From the number and quality of the endorsements received, an authority score can be assigned to each profile, with respect to a specific skill. In this paper, we propose an authority score computation method that takes into account the relations existing among different skills. Our method is based on enriching the information contained in the digraph of endorsements corresponding to a specific skill, and then applying a ranking method admitting weighted digraphs, such as PageRank. We describe the method, and test it on a synthetic network of 1493 nodes, fitted with endorsements.

Pages: 68 to 73

Copyright: Copyright (c) IARIA, 2015

Publication date: November 15, 2015

Published in: conference

ISSN: 2326-9286

ISBN: 978-1-61208-444-2

Location: Barcelona, Spain

Dates: from November 15, 2015 to November 20, 2015