Collaboration recommendation on academic social networks

Authors:
Giseli Rabello Lopes;Mirella M. Moro;Leandro Krug Wives;José Palazzo Moreira De Oliveira
Affiliations:
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil;Universidade Federal de Minas Gerais, Belo Horizonte, Brazil;Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil;Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
Venue:
ER'10 Proceedings of the 2010 international conference on Advances in conceptual modeling: applications and challenges
Year:
2010

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Abstract

In the academic context, scientific research works are often performed through collaboration and cooperation between researchers and research groups. Researchers work in various subjects and in several research areas. Identifying new partners to execute joint research and analyzing the level of cooperation of the current partners can be very complex tasks. Recommendation of new collaborations may be a valuable tool for reinforcing and discovering such partners. This paper presents an innovative approach to recommend collaborations on the context of academic Social Networks. Specifically, we introduce the architecture for such approach and the metrics involved in recommending collaborations. We also present an initial case study to validate our approach.