@inproceedings{dc1444e62429418c9d16cb8cf7c2c605,
title = "Cooperation relationship analysis of research teams based on social network analysis and importance measures",
abstract = "To overcome the disadvantages of qualitative methods in team relationship analysis, we introduce an adjacency matrix to modeling the cooperation relationships between team members and use the importance measures to evaluate the effect of a member on the team and the performance of the whole team. First of all, the weight adjacency matrix is developed based on adjacency matrix to describe the research team. In the weight adjacency matrix, a node means a member in the team, while the weight describes the cooperation relationship between members. Then, the social network analysis and importance measures are used to estimate the cooperation of members. Finally, the case study of a research team from Northwestern Polytechnic University is implemented to show the cooperation relationship results of the proposed methods.",
keywords = "Cooperation relationship, Importance measure, Research team, Social network analysis",
author = "Han, {Zheng Sheng} and Cai, {Zhi Qiang}",
year = "2013",
doi = "10.1007/978-3-642-38391-5_117",
language = "英语",
isbn = "9783642383908",
series = "19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1099--1107",
booktitle = "19th International Conference on Industrial Engineering and Engineering Management",
note = "19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering ; Conference date: 27-10-2012 Through 29-10-2012",
}