Harnessing human computation for solving complex problems call spawns the issue of finding the unknown competitive group of solvers. In this paper, we propose an approach called Friendlysourcing to build up teams from social network answering a business call, all the while avoiding partial solution disclosure to competitive groups. The contributions of this paper include (i) a clustering based approach for discovering collaborative and competitive team in social network (ii) a Markov-chain based algorithm for discovering implicit interactions in the social network. © 2013 Springer-Verlag.
CITATION STYLE
Amor, I. B., Benbernou, S., Ouziri, M., Nadif, M., & Bouguettaya, A. (2013). Data leak aware crowdsourcing in social network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7652 LNCS, pp. 226–236). https://doi.org/10.1007/978-3-642-38333-5_23
Mendeley helps you to discover research relevant for your work.