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Títol

Ranking users in social networks with endorsements

Conferenciant

Hebert Prez-Ross

Professor/a organitzador/a

Maria Bras-Amors

Institució

URV

Data

13-10-2016 12:00

Resum

Online social networks are becoming pervasive in modern society. In particular, professional social networks are a showcase for people's skills, and some sort of job marketplace. We show how to use the tools of graph theory and linear algebra for ranking users in a professional social network with endorsements, such as LinkedIn or ResearchGate. In particular, we show how to deduce new endorsements from existing ones, so as to complete a user's profile, and then apply a centrality or relevance scoring algorithm, such as PageRank, in order to rank users according to some predetermined skill. This ranking can then be used by companies for recruiting personnel, by online associations for weighted voting schemes, etc.

Lloc

Laboratori 231

Idioma

Angls