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Team Expansion in Collaborative Environments

  • Lun Zhao
  • Yuan YaoEmail author
  • Guibing Guo
  • Hanghang Tong
  • Feng Xu
  • Jian Lu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10939)

Abstract

In this paper, we study the team expansion problem in collaborative environments where people collaborate with each other in the form of a team, which might need to be expanded frequently by having additional team members during the course of the project. Intuitively, there are three factors as well as the interactions between them that have a profound impact on the performance of the expanded team, including (1) the task the team is performing, (2) the existing team members, and (3) the new candidate team member. However, the vast majority of the existing work either considers these factors separately, or even ignores some of these factors. In this paper, we propose a neural network based approach TECE to simultaneously model the interactions between the team task, the team members as well as the candidate team members. Experimental evaluations on real-world datasets demonstrate the effectiveness of the proposed approach.

Keywords

Team expansion Candidate member prediction Collaborative environments Neural networks 

Notes

Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. 61690204, 61672274, 61702252), the National Key Research and Development Program of China (No. 2016YFB1000802), the Fundamental Research Funds for the Central Universities (No. 020214380033), and the Collaborative Innovation Center of Novel Software Technology and Industrialization. Guibing Guo is partially supported by the National Natural Science Foundation for Young Scientists of China (No. 61702084). Hanghang Tong is partially supported by NSF (IIS-1651203, IIS-1715385, CNS-1629888 and IIS-1743040), DTRA (HDTRA1-16-0017), ARO (W911NF-16-1-0168), and gifts from Huawei and Baidu.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Lun Zhao
    • 1
  • Yuan Yao
    • 1
    Email author
  • Guibing Guo
    • 2
  • Hanghang Tong
    • 3
  • Feng Xu
    • 1
  • Jian Lu
    • 1
  1. 1.State Key Laboratory for Novel Software TechnologyNanjing UniversityNanjingChina
  2. 2.Software CollegeNortheastern UniversityShenyangChina
  3. 3.Arizona State UniversityTempeUSA

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