使用DBLP(database systems and logic programming)提供的文献索引作为原始数据,对计算机及其相关领域合作发表论文形成的科研合作网络进行了研究.通过解析xml元数据,构建DBL,P科研合作网络拓扑并计算其网络拓扑常规参数,分析了若干参...使用DBLP(database systems and logic programming)提供的文献索引作为原始数据,对计算机及其相关领域合作发表论文形成的科研合作网络进行了研究.通过解析xml元数据,构建DBL,P科研合作网络拓扑并计算其网络拓扑常规参数,分析了若干参数的统计特征,发现DBLP科研合作网络是小世界网络,但无标度特性不明显;该科研合作网络的中心与边缘拓扑反映不同的科研合作模式;DBLP复杂网络的k核与科学家的h-指数并无强相关性.最后使用观察结果讨论了复杂网络的研究发展及本实验室在计算机相关领域的学术定位情况.展开更多
During the past decades,the term“social computing”has become a promising interdisciplinary area in the intersection of computer science and social science.In this work,we conduct a data-driven study to understand th...During the past decades,the term“social computing”has become a promising interdisciplinary area in the intersection of computer science and social science.In this work,we conduct a data-driven study to understand the development of social computing using the data collected from Digital Bibliography and Library Project(DBLP),a representative computer science bibliography website.We have observed a series of trends in the development of social computing,including the evolution of the number of publications,popular keywords,top venues,international collaborations,and research topics.Our findings will be helpful for researchers and practitioners working in relevant fields.展开更多
文摘使用DBLP(database systems and logic programming)提供的文献索引作为原始数据,对计算机及其相关领域合作发表论文形成的科研合作网络进行了研究.通过解析xml元数据,构建DBL,P科研合作网络拓扑并计算其网络拓扑常规参数,分析了若干参数的统计特征,发现DBLP科研合作网络是小世界网络,但无标度特性不明显;该科研合作网络的中心与边缘拓扑反映不同的科研合作模式;DBLP复杂网络的k核与科学家的h-指数并无强相关性.最后使用观察结果讨论了复杂网络的研究发展及本实验室在计算机相关领域的学术定位情况.
基金supported by the National Natural Science Foundation of China(Nos.71731004,62072115,62102094,62173095,and 61602122)Shanghai Science and Technology Innovation Action Plan Project(No.22510713600)Natural Science Foundation of Shanghai(No.21ZR1404700).
文摘During the past decades,the term“social computing”has become a promising interdisciplinary area in the intersection of computer science and social science.In this work,we conduct a data-driven study to understand the development of social computing using the data collected from Digital Bibliography and Library Project(DBLP),a representative computer science bibliography website.We have observed a series of trends in the development of social computing,including the evolution of the number of publications,popular keywords,top venues,international collaborations,and research topics.Our findings will be helpful for researchers and practitioners working in relevant fields.
