In this paper, we present a preliminary idea for a crowdsourcing application aimed at driving the process of global team formation to obtain diversity in the team. Indeed, it is well known that diversity is one of the key factors of collective intelligence in crowdsourcing. The idea is based on the identification of suitable nodes in social networks, which can profitably play the role of generators of diversity in the team formation process. This paper presents a first step towards the concrete definition of the above application consisting in the identification of an effective measure that can be used to select the most promising nodes w.r.t. the above feature.
CITATION STYLE
Buccafurri, F., Lax, G., Nicolazzo, S., Nocera, A., & Ursino, D. (2014). Driving global team formation in social networks to obtain diversity. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8541, 410–419. https://doi.org/10.1007/978-3-319-08245-5_26
Mendeley helps you to discover research relevant for your work.