摘要
[目的/意义]探索作者合著网络的演化模式与涌现规律,对于揭示科研合作内在机制具有重要意义.[方法/过程]采用网络分析与时间序列分析相结合的方法,对时间序列合著网络中的分支结构、合著关系强度、作者合著强度展开跟踪与分析.[结果/结论]研究结果表明,作者合著网络为非连通网络,网络中会涌现出涵盖网络大多数作者的突出分支;合著关系强度与作者合著强度随时间推移涌现出趋近于幂律分布的特征,但合著强度最低的作者并不是网络中人数最多的一类.
[Purpose/significance]Exploring the evolutionary patterns and emergence laws of co-author network is of great significance for revealing the internal mechanism of scientific research cooperation.[Method/process]This article uses the combination of network analysis and time series analysis to track and analyze the component structure,relationship strength,and author strength in the time series co-author networks.[Result/conclusion]The results show that the co-author network is a non-connected network,and the prominent component covering most authors of the network will emerge in the network.The relationship strength and the author strength appear to be close to the power-law distribution over time.But the authors with the lowest author strength are not the largest group in the co-author network.
出处
《情报理论与实践》
CSSCI
北大核心
2019年第12期16-23,共8页
Information Studies:Theory & Application
基金
国家社会科学基金项目“基于复合数据的科技信息跨维度挖掘与推荐研究”的成果之一,项目编号:19BTQ063
关键词
科研合作
网络分析
时间序列分析
合著网络
网络分支
合著强度
scientific and technical collaboration
network analysis
time-series analysis
co-authorship network
network component
co-author strength