@inproceedings{5e6920818aec4cfc89727c51f8cd196e,
title = "Forming Diverse Teams Based on Members{\textquoteright} Social Networks: A Genetic Algorithm Approach",
abstract = "Previous research shows that diverse teams in background and skills can outperform homogeneous teams. However, people often prefer to work with others who are similar and familiar and fail to assemble teams with high diversity levels. We propose a team formation algorithm that suggests diverse teams based on individuals{\textquoteright} social networks, allowing them to keep high familiarity levels. Our novel algorithm is based on the NSGA-II genetic optimization that splits students into well-connected and diverse teams within an organizational network. It optimizes measures of team communication cost and diversity in O(n2) time. The optimization finds Pareto optimal solutions that optimize both metrics, returning teams that have both diversity in member attributes and previous connections between members. We tested the algorithm on real team formation data collected from the MyDreamTeam platform. The solutions provided by the algorithm are superior to the teams assembled by the students, in both diversity and communication cost measures.",
keywords = "Diversity, Genetic algorithms, Social networks, Team formation",
author = "Archan Das and Diego G{\'o}mez-Zar{\'a} and Noshir Contractor",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 9th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2020 ; Conference date: 01-12-2020 Through 03-12-2020",
year = "2021",
doi = "10.1007/978-3-030-65351-4_28",
language = "English (US)",
isbn = "9783030653507",
series = "Studies in Computational Intelligence",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "346--357",
editor = "Benito, {Rosa M.} and Chantal Cherifi and Hocine Cherifi and Esteban Moro and Rocha, {Luis Mateus} and Marta Sales-Pardo",
booktitle = "Complex Networks and Their Applications IX - Volume 2, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020",
address = "Germany",
}