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arXiv 1010.4747cs.SIcs.DLphysics.soc-ph
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计算机科学中的协作:网络科学方法。部件I

Collaboration in computer science: a network science approach. Part I

Massimo Franceschet

摘要:

在一个学科内的出版物的合著揭示了分析领域的有趣特性。我们代表了计算机科学学术论文中不同粒度网络的协作,包括那些仅来自会议和期刊合著的子网络。我们利用网络科学的工具来拍摄计算机科学合作的照片,包括自1936年以来在该领域发表的所有论文。我们研究了典型的文献计量学属性,如作者的科学生产力和论文中的合作水平,以及大规模的网络属性,如学者之间的可达性和平均分离距离,学者合作者数量的分布,网络弹性和对明星合作者的依赖,网络聚类,以及网络合作者数量的可达性。

英文摘要:

Co-authorship in publications within a discipline uncovers interesting properties of the analysed field. We represent collaboration in academic papers of computer science in terms of differently grained networks, including those sub-networks that emerge from conference and journal co-authorship only. We take advantage of the network science paraphernalia to take a picture of computer science collaboration including all papers published in the field since 1936. We investigate typical bibliometric properties like scientific productivity of authors and collaboration level in papers, as well as large-scale network properties like reachability and average separation distance among scholars, distribution of the number of scholar collaborators, network resilience and dependence on star collaborators, network clustering, and network assortativity by number of collaborators.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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