| 作者共被引分析方法进展研究 |
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| 引用本文： | 苑彬成,方曙,刘合艳.作者共被引分析方法进展研究[J].图书情报工作,2009,53(22):80-84. |
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| 作者姓名： | 苑彬成 方曙 刘合艳 |
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| 作者单位： | 1. 中国科学院研究生院;2. 中国科学院国家科学图书馆成都分馆; |
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| 基金项目： | 中国科学院国家科学图书馆战略研究项目 |
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| 摘 要： | 综述近几年来作者共被引分析在研究方法上面临的挑战，归纳其最新的研究进展和发展趋势，指出各种优化方法目前面临的问题，并就新的发展阶段下该方法的优化问题提出几点注意事项，认为不论是间接法还是直接法，任何一种方法的突破都能进一步扩展作者共被引分析的应用范围，并将作者共被引分析推向深入，也将使最后得到的分析结果更客观、更可靠。
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| 关 键 词： | 作者共被引分析 德瑞克赛模式 相似性度量 网络寻址定位 |
| 收稿时间： | 2009-04-03 |
Research on Developments of Author Co-citation Analysis |
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| Yuan Bincheng,Fang Shu,Liu Heyan.Research on Developments of Author Co-citation Analysis[J].Library and Information Service,2009,53(22):80-84. |
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| Authors: | Yuan Bincheng Fang Shu Liu Heyan |
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| Institution: | 1. Graduate University of Chinese Academy of Science;2. Chengdu Library of Chinese Academy of Science; |
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| Abstract: | In this paper, the authors conclude new challenges in author co citation analysis (ACA) in recent years, summarize its latest developments and trends, point out some exisisting problems in the optimizational methods, and finally provide some suggestions for its optimization under the new phase. The authors believe that no matter direct methods or indirect ones, any progress in these methods would enlarge the applying area of ACA, and advance the development of ACA, and by applying it people can get more object and reliable results. |
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| Keywords: | author co citation analysis drexel model similarity measures pfnets |
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