当前,学科间的交叉融合趋势越来越明显,科学研究的深入开展越来越需要不同学科学者的协同创新,如何测度学科间的交叉性是一个重要的研究课题。在阐述模型构建基本思想的基础上,从文献直引、文献耦合和共关键词三个方面构建了学科交叉直...当前,学科间的交叉融合趋势越来越明显,科学研究的深入开展越来越需要不同学科学者的协同创新,如何测度学科间的交叉性是一个重要的研究课题。在阐述模型构建基本思想的基础上,从文献直引、文献耦合和共关键词三个方面构建了学科交叉直接测度综合模型。利用Web of Science 中信息科学与图书馆学的相关数据,与其他六个学科(如管理学、计算机科学-信息系统)的交叉度进行了计算分析,并从内部比较(综合模型与单指标模型比较)和外部比较(与当前主流指标模型比较)两个方面展开了实证研究。研究结果表明,本文所提出的模型具有一定的比较优势:原理上更科学、更简单易操作、更符合实际情况、区分度更强、结果更易理解,是一种探测学科交叉度的有效方法。展开更多
Purpose:We analyzed the structure of a community of authors working in the field of social network analysis(SNA)based on citation indicators:direct citation and bibliographic coupling metrics.We observed patterns at t...Purpose:We analyzed the structure of a community of authors working in the field of social network analysis(SNA)based on citation indicators:direct citation and bibliographic coupling metrics.We observed patterns at the micro,meso,and macro levels of analysis.Design/methodology/approach:We used bibliometric network analysis,including the“temporal quantities”approach proposed to study temporal networks.Using a two-mode network linking publications with authors and a one-mode network of citations between the works,we constructed and analyzed the networks of citation and bibliographic coupling among authors.We used an iterated saturation data collection approach.Findings:At the macro-level,we observed the global structural features of citations between authors,showing that 80%of authors have not more than 15 citations from other works.At the meso-level,we extracted the groups of authors citing each other and similar to each other according to their citation patterns.We have seen a division of authors in SNA into groups of social scientists and physicists,as well as into other groups of authors from different disciplines.We found some examples of brokerage between different groups that maintained the common identity of the field.At the micro-level,we extracted authors with extremely high values of received citations,who can be considered as the most prominent authors in the field.We examined the temporal properties of the most popular authors.Research limitations:The main challenge in this approach is the resolution of the author’s name(synonyms and homonyms).We faced the author disambiguation,or“multiple personalities”(Harzing,2015)problem.To remain consistent and comparable with our previously published articles,we used the same SNA data collected up to 2018.The analysis and conclusions on the activity,productivity,and visibility of the authors are relative only to the field of SNA.Practical implications:The proposed approach can be utilized for similar objectives and identifying key structures and charac展开更多
相关反馈是一种根据用户或系统的相关性判断重构初始检索提问的方法，已被证明可以有效地改进检索效果。具体到学术文献，其引用关系表征了文献内容上的相关性，因而可以为相关反馈提供有价值的辅助信息。本文提出了一种基于引用上下文...相关反馈是一种根据用户或系统的相关性判断重构初始检索提问的方法，已被证明可以有效地改进检索效果。具体到学术文献，其引用关系表征了文献内容上的相关性，因而可以为相关反馈提供有价值的辅助信息。本文提出了一种基于引用上下文、文献同被引和文献耦合的相关反馈改进算法。该算法的基本思想包括：利用学术文献的引用上下文信息扩充词包模型（bags of words）进行文本表示；在相关文献判断阶段利用相关文献在引文网络中与其他文献的同被引强度和耦合强度扩充相关文献集合；结合基于聚类的相关反馈思想抽取查询扩展项。实验证明该算法提高了相关反馈效果。此外，相关分析的结果表明文献同被引以及文献耦合强度与文献内容相似度具有显著的相关性。展开更多
文摘当前,学科间的交叉融合趋势越来越明显,科学研究的深入开展越来越需要不同学科学者的协同创新,如何测度学科间的交叉性是一个重要的研究课题。在阐述模型构建基本思想的基础上,从文献直引、文献耦合和共关键词三个方面构建了学科交叉直接测度综合模型。利用Web of Science 中信息科学与图书馆学的相关数据,与其他六个学科(如管理学、计算机科学-信息系统)的交叉度进行了计算分析,并从内部比较(综合模型与单指标模型比较)和外部比较(与当前主流指标模型比较)两个方面展开了实证研究。研究结果表明,本文所提出的模型具有一定的比较优势:原理上更科学、更简单易操作、更符合实际情况、区分度更强、结果更易理解,是一种探测学科交叉度的有效方法。
基金supported in part by the Slovenian Research Agency(VB,research program P1-0294)(VB,research project J5-2557)+2 种基金(VB,research project J5-4596)COST EU(VB,COST action CA21163(HiTEc)is prepared within the framework of the HSE University Basic Research Program.
文摘Purpose:We analyzed the structure of a community of authors working in the field of social network analysis(SNA)based on citation indicators:direct citation and bibliographic coupling metrics.We observed patterns at the micro,meso,and macro levels of analysis.Design/methodology/approach:We used bibliometric network analysis,including the“temporal quantities”approach proposed to study temporal networks.Using a two-mode network linking publications with authors and a one-mode network of citations between the works,we constructed and analyzed the networks of citation and bibliographic coupling among authors.We used an iterated saturation data collection approach.Findings:At the macro-level,we observed the global structural features of citations between authors,showing that 80%of authors have not more than 15 citations from other works.At the meso-level,we extracted the groups of authors citing each other and similar to each other according to their citation patterns.We have seen a division of authors in SNA into groups of social scientists and physicists,as well as into other groups of authors from different disciplines.We found some examples of brokerage between different groups that maintained the common identity of the field.At the micro-level,we extracted authors with extremely high values of received citations,who can be considered as the most prominent authors in the field.We examined the temporal properties of the most popular authors.Research limitations:The main challenge in this approach is the resolution of the author’s name(synonyms and homonyms).We faced the author disambiguation,or“multiple personalities”(Harzing,2015)problem.To remain consistent and comparable with our previously published articles,we used the same SNA data collected up to 2018.The analysis and conclusions on the activity,productivity,and visibility of the authors are relative only to the field of SNA.Practical implications:The proposed approach can be utilized for similar objectives and identifying key structures and charac
文摘相关反馈是一种根据用户或系统的相关性判断重构初始检索提问的方法，已被证明可以有效地改进检索效果。具体到学术文献，其引用关系表征了文献内容上的相关性，因而可以为相关反馈提供有价值的辅助信息。本文提出了一种基于引用上下文、文献同被引和文献耦合的相关反馈改进算法。该算法的基本思想包括：利用学术文献的引用上下文信息扩充词包模型（bags of words）进行文本表示；在相关文献判断阶段利用相关文献在引文网络中与其他文献的同被引强度和耦合强度扩充相关文献集合；结合基于聚类的相关反馈思想抽取查询扩展项。实验证明该算法提高了相关反馈效果。此外，相关分析的结果表明文献同被引以及文献耦合强度与文献内容相似度具有显著的相关性。
