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计量学视角下社群信息学研究的特征、轨迹及走向

  • 郑洪兰
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  • 燕山大学图书馆
郑洪兰,燕山大学图书馆馆员,硕士,E-mail:ydzhenghl@sina.cn。

收稿日期: 2012-10-08

  修回日期: 2013-01-07

  网络出版日期: 2013-02-05

The Track, Characteristics and Trend on Community Informatics

  • Zheng Honglan
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  • Yanshan University Library, Qinhuangdao 066004

Received date: 2012-10-08

  Revised date: 2013-01-07

  Online published: 2013-02-05

摘要

利用信息可视化软件Citespace Ⅱ,以Web of Science(SCI,ISTP)中收录的1998-2011年间的521篇社群信息学相关文献及其所包含的17 968篇参考文献为研究对象,对发文时间、作者、机构、学科、参考文献等进行分析;同时通过对高频关键词和高中心度、高被引文献进行分析,明确社群信息学研究热点。结果显示,社群信息学研究还未迎来大发展时期,但知识储备速度在不断加快;社群信息学研究由社会网络和社会资本两个分支组成,其中,社会网络是主要分支;网络学习、社会网络、复杂网络、卫生保健将成为未来重点研究主题。

本文引用格式

郑洪兰 . 计量学视角下社群信息学研究的特征、轨迹及走向[J]. 图书情报工作, 2013 , 57(03) : 138 -146 . DOI: 10.7536/j.issn.0252-3116.2013.03.025

Abstract

The sample of 521 papers on community informatics included in Web of Science (SCI, ISTP) published during 1998-2011, and their 17 968 references are analyzed with CiteSpace Ⅱ software in the aspects of their publishing time,authors,institutions,subjects and references distribution. Meanwhile, this paper analyzes the high frequency keywords, high centrality and high cited documents to identify research focus. The results show that community informatics research is a way off from hitting its stride but knowledge reserving speed is accelerating, that the main research hot topics are composed of social network and social capital, that social networks is a major branch, and that networked-learning, social networks, complex network and health care will become the major hot subjects in the future.

参考文献

[1] Alkalimat A,Willianms K. eBlack Studies: A project of community informatics..http://www.bnu.edu.cn/xzhd/30939.htm.

[2] Eagle D, Hague B, Keeble L, et al. Community informatics: Shaping computer-mediated social relations[M]. London: Routledge,2001:3-9.

[3] 闫慧. 社群信息学:一个值得关注的新兴领域[J]. 图书情报工作,2010,54(4):53-55,99.

[4] 庞景安.科学计量研究方法论[M].北京:科学技术文献出版社,1999:299-300.

[5] 邱均平.信息计量学[M].武汉:武汉大学出版社, 2007:255.

[6] 邱均平,刘华华. 网络信息计量学的文献计量规律及发展现状研究[J]. 图书馆论坛,2009,29(6):58-62.

[7] 邱均平,苏金燕,熊尊妍.基于文献计量的国内外信息资源管理研究比较分析[J]. 中国图书馆学报,2008(5):37-45.

[8] Watts D J, Strogatz S H. Collective dynamics of 'small-world' networks[J]. Nature,1998,393(6684):440-442.

[9] Barabási A L, Albert R. Emergence of scaling in random networks[J].Science,1999,286(5439):509-512.

[10] McPherson M, Smith-Lovin L, Cook J M. Birds of a feather: Homophily in social networks[J].Annual Review of Sociology,2001,27(1):415-444.

[11] Granovetter M S. The strength of weak ties[J]. American Journal of Sociology, 1973, 78(6): 1360-1380.

[12] Granovetter M S. Economic action and social structure: The problem of embededness[J]. American Journal of Sociology,1985,91(3):481-510.

[13] Wasserman S, Faust K.Social network analysis: Methods and applications[M]. Cambridge: Cambridge University Press,1994: 249.

[14] Freeman L C.Centrality in social networks: Conceptual clarification[J].Social Networks, 1979, 1(3): 215-239.

[15] Powell W W, White D R, Koput K W, et al.Network dynamics and field evolution: The growth of interorganizational collaboration in the life science[J].American Journal of Sociology,2005,110(4):1132-1205.

[16] Girvan M, Newman M E J. Community structure in social and biological networks[J]. Proceedings of the National Academy of Sciences of the United States of America,2002,99(12):7821-7826.

[17] Lancichinetti A, Fortunato S, Kertész J. Detecting the overlapping and hierarchical community structure in complex networks[J].New Journal of Physics, 2009,11(3): 033015.

[18] Palla G, Derenyi I, Farkas I, et al. Uncovering the overlapping community structure of complex networks in nature and society[J]. Nature, 2005, 435(7043): 814-818.

[19] Newman M E J, Girvan M. Finding and evaluating community structure in networks[J].Physical Review E,2004,69(2):026113.

[20] Newman M E J. Finding community structure in networks using the eigenvectors of matrices[J].Physical Review E,2006,74(3):036104.

[21] Radicchi F, Castellano C, Cecconi F, et al. Defining and identifying communities in networks[J]. Proceedings of the National Academy of Sciences of the United States of America, 2004,101(9):2658-2663.

[22] Blondel V D, Guillaume J L, Lambiotte R,et al. Fast unfolding of communities in large networks[J]. Journal of Statistical Mechanics: Theory and Experiment, 2008(10):10008.

[23] Guimera R, Amaral L A N. Functional cartography of complex metabolic networks[J].Nature,2005,433(7028):895-900.

[24] Newman M E J. Modularity and community structure in networks[J].Proceedings of the National Academy of Sciences of the United States of America,2006,103(23):8577-8582.

[25] Fortunato S, Barthélemy M. Resolution limit in community detection[J]. Proceedings of the National Academy of Sciences of the United States of America,2007, 104(1):36-41.

[26] Putnam R D. Bowling alone: The collapse and revival of American community[M].New York:Simon and Schuster, 2000.

[27] Putnam R D. Making democracy work: Civic traditions in modern Italy[M]. Princeton: Princeton University Press,1993.

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