Endorsement deduction and ranking in social networks

Title: Endorsement deduction and ranking in social networks
Creator: Pérez-Rosés, Herbert; Sebé, Francesc; Maria Ribó, Josep
Relation: Computer Communications Vol. 73, Issue January 2016, Part B, p. 200-210
Publisher Link: http://dx.doi.org/10.1016/j.comcom.2015.08.018
Publisher: Elsevier
Resource Type: journal article
Date: 2016
Description: Some social networks, such as LinkedIn and ResearchGate, allow user endorsements for specific skills. In this way, for each skill we get a directed graph where the nodes correspond to users’ profiles and the arcs represent endorsement relations. From the number and quality of the endorsements received, an authority score can be assigned to each profile. 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.
Subject: expertise retrieval; social networks; LinkedIn; ResearchGate; PageRank
Identifier: http://hdl.handle.net/1959.13/1320077
Identifier: uon:24056
Identifier: ISSN:0140-3664
Language: eng
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