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【目的】对论文合著网络进行分析,划分并分析学术社区,发现领域发展与变化规律。【方法】利用社区快速发现算法识别合著网络中的学术社区,建立学者论文影响力与合作影响力的综合指标,评价学术社区中学者的学术影响力,并以学术影响力最大的三个社区为例,从生命周期的角度分析和讨论学术社区的发展和演化。【结果】基于《美国地理学家联合会会刊》的数据分析表明:本文提出的综合指标能够有效地挖掘学术社区中的杰出学者;基于生命周期的合著网络中学术社区分析方法可以发现不同学术社区的研究趋势和热点变化。【局限】以单一期刊为例,可能导致学术社区的组成相对单薄,增加不同来源的期刊数据能够进一步提升研究结果的可信性。【结论】本文提出的学术社区分析方法,可以从不同角度发现与解释领域的发展方向和规律,为相关领域学者的研究工作提供更加科学的指导和认识。
【Objective】 To analyze the thesis co-author network, divide and analyze the academic community and discover the rules of the field development and change. 【Method】 The community rapid identification algorithm was used to identify the academic community in the co-author network, set up a comprehensive index of the influence of the scholar’s paper and the influence of cooperation, evaluate the scholar’s academic influence of the scholar in the academic community, As an example, analyze and discuss the development and evolution of academic community from the perspective of life cycle. [Results] The data analysis based on the Journal of the American Geographers Association shows that the comprehensive index proposed in this paper can effectively identify outstanding scholars in the academic community; academic community analysis methods based on the life-cycle co-author network can find different Academic community research trends and changes in the hot. [Limitations] Taking a single journals as an example, the composition of the academic community may be relatively meager. Increasing journals data from different sources can further enhance the credibility of the research results. 【Conclusion】 The academic community analysis method proposed in this paper can find and explain the development directions and laws in different fields and provide more scientific guidance and understanding for the research work of scholars in relevant fields.