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A parallel team formation approach using crowd intelligence from social network

  • Published:2019-12 Issue: Volume:101 Page:429-434
  • ISSN:0747-5632
  • Container-title:Computers in Human Behavior
  • language:en
  • Short-container-title:Computers in Human Behavior

Author:

Jeong Young-Sik,Pan Yi,Rathore Shailendra,Kim Byoungwook,Park Jong Hyuk

Funder

Seoul National University of Science and Technology

Publisher

Elsevier BV

Subject

General Psychology,Human-Computer Interaction,Arts and Humanities (miscellaneous)

Reference27 articles.

1. Health care professional development: Working as a team to improve patient care;Babiker;Sudanese Journal of Paediatrics,2014

2. Group formation in large social Networks: Membership, growth and evolution;Backstrom,2006

3. Project team selection using fuzzy optimization approach, cybernetics and systems;Baykasoglu;International Journal,2007

4. Application of social network analysis to collaborative team formation;Cheatham,2006

5. Context-aware object connection discovery in large graphs;Cheng,2009

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1. A graph neural network-based teammate recommendation model for knowledge-intensive crowdsourcing;Engineering Applications of Artificial Intelligence;2024-11

2. Team formation through an assessor: choosing MARL agents in pursuit–evasion games;Complex & Intelligent Systems;2024-02-10

3. Crowd Intelligence Driven Design Framework Based on Perception-Retrieval Cognitive Mechanism;Product Lifecycle Management. PLM in Transition Times: The Place of Humans and Transformative Technologies;2023

4. Geolocation-based Group Formation and its Mobile Application Prototype;TEM Journal;2022-08-29

5. A set partitioning based goal programming model for the team formation problem;International Transactions in Operational Research;2021-06-22
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