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| Research on the Evolution of the Scientific Collaboration Network and the Growth of the High-Impact Author in the Life Cycle Phase |
| Wang Yuefen1,2, Li Dongqiong1, Yu Houqiang1,2 |
1. School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094;
2. Jiangsu Collaborative Innovation Center of Social Safety Science and Technology, Nanjing 210094 |
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Abstract In order to further study scientific collaboration and reveal the law of scientific development, research on the evolution of the scientific collaboration network, especially of individual authors and component networks was conducted on the New Energy field of CNKI in China, based on the life cycle theory and by means of mathematical statistics and complex networks. Results show that except for the burgeoning phase, collaboration networks in the growing phase, booming phase, and transforming phase are scale-free networks and follow the power law distribution. Collaboration networks in each phase present different features. This study explores the growth characteristics of the top 10 high-impact scholars in the new energy field in different life cycle stages of the scientific collaboration network from three points of view: entering the collaboration pattern, the evolution model, and the network type of a high-impact author. Results show that the collaboration network in each phase presents distinctive features. Other important factors include the number of co-authors, whether the cooperation is with other high-impact authors, and the time interval when authors enter a new energy field. Four types of entering collaboration patterns are identified. Through the degree distribution of high-impact authors in different stages, four evolution patterns of individual high-impact authors are detected, namely a steadily growing pattern, growth and diminish pattern, keep leading pattern, and remain normal pattern. Three types of component networks are recognized, namely mobile collaboration component networks, leading growth collaboration component networks, and multiple core collaboration component networks.
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Received: 26 June 2017
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