Abstract
Team formation in social networks has attracted much attention due to its many applications such as the online labour market. In this paper, we focus on the problem of forming multiple teams of experts with diverse skills in social network to accomplish complex tasks of required skills. The goal is to maximize the total profit of tasks that these teams can complete. We provide a simple and practical algorithm that improves upon previous results in many situations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Anagnostopoulos, A., Becchetti, L., Castillo, C., Gionis, A., Leonardi, S.: Power in unity: Forming teams in large-scale community systems. In: Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), pp. 599–608 (2010)
Anagnostopoulos, A., Becchetti, L., Castillo, C., Gionis, A., Leonardi, S.: Online team formation in social networks. In: Proceedings of the International Conference on World Wide Web (WWW), pp. 839–848 (2012)
Carr, R., Vempala, S.: Randomized metarounding. Random Struct. Algorithms 20(3), 343–352 (2002)
Charikar, M., Chekuri, C., Cheung, T.-Y., Dai, Z., Goel, A., Guha, S., Li, M.: Approximation algorithms for directed steiner problems. J. Algorithms 33(1), 73–91 (1999)
Fortunato, S.: Community detection in graphs. Phys. Rep. 486, 75–174 (2010)
Gajewar, A., Sarma, A.D.: Multi-skill collaborative teams based on densest subgraphs. In: Proceedings of the SIAM International Conference on Data Mining (SDM), pp. 165–176 (2012)
Golshan, B., Lappas, T., Terzi, E.: Profit-maximizing cluster hires. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 1196–1205 (2014)
Greenwald, R.: Freelancers find it pays to team up. Wall Street J. 3 February 2014. https://www.wsj.com/articles/freelancers-find-it-pays-to-team-up-1389267711
Jain, K., Mahdian, M., Salavatipour, M.R.: Packing steiner trees. In: Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pp. 266–274 (2003)
Kargar, M., An, A.: Discovering top-k teams of experts with/without a leader in social networks. In: Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), pp. 985–994 (2011)
Lappas, T., Liu, K., Terzi, E.: Finding a team of experts in social networks. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 467–476 (2009)
Lee, V.E., Ruan, N., Jin, R., Aggarwal, C.: A survey of algorithms for dense subgraph discovery. In: Aggarwal, C., Wang, H. (eds.) Managing and Mining Graph Data. Advances in Database Systems, vol. 40, pp. 303–336. Springer, Boston (2010). https://doi.org/10.1007/978-1-4419-6045-0_10
Li, C.-T., Shan, M.-K., Lin, S.-D.: On team formation with expertise query in collaborative social networks. Knowl. Inf. Syst. 42(2), 441–463 (2015)
Majumder, A., Datta, S., Naidu, K.V.M.: Capacitated team formation problem on social networks. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 1005–1013 (2012)
Rangapuram, S.S., Bühler, T., Hein, M.: Towards realistic team formation in social networks based on densest subgraphs. In: Proceedings of the International Conference on World Wide Web (WWW), pp. 1077–1088 (2013)
Rothvoß, T.: Directed steiner tree and the lasserre hierarchy. CoRR, abs/1111.5473 (2011)
Tang, S.: Profit-aware team grouping in social networks: a generalized cover decomposition approach. CoRR, abs/1605.03205 (2016)
Tang, S.: Profit-driven team grouping in social networks. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 45–51 (2017)
Wang, X., Zhao, Z., Ng, W.: A comparative study of team formation in social networks. In: Renz, M., Shahabi, C., Zhou, X., Cheema, M.A. (eds.) DASFAA 2015. LNCS, vol. 9049, pp. 389–404. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-18120-2_23
Wang, X., Zhao, Z., Ng, W.: USTF: a unified system of team formation. IEEE Trans. Big Data 2(1), 70–84 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Liu, S., Poon, C.K. (2017). A Simple Greedy Algorithm for the Profit-Aware Social Team Formation Problem. In: Gao, X., Du, H., Han, M. (eds) Combinatorial Optimization and Applications. COCOA 2017. Lecture Notes in Computer Science(), vol 10628. Springer, Cham. https://doi.org/10.1007/978-3-319-71147-8_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-71147-8_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-71146-1
Online ISBN: 978-3-319-71147-8
eBook Packages: Computer ScienceComputer Science (R0)