|
|
|
| Development of Social Network Analysis (SNA) Using Intelligence Analysis |
| Chen Yunwei |
| Scientometrics & Evaluation Research Center SERC, Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041 |
|
|
|
|
Abstract The purpose of this paper was to conclude the development of social network analysis (SNA) using intelligence analysis through the following three aspects: collaboration network, citation network, and topic-associated network. This paper emphasizes combining classic concepts, methods, and algorithms, as well as introducing new concepts, ideas, indicators, and algorithms. Finally, this paper discusses the functions and prospects of SNA.
|
|
Received: 17 October 2018
|
|
|
|
[1] 林聚任. 社会网络分析: 理论、方法与应用[M]. 第1版. 北京: 北京师范大学出版社, 2009: 1-5.
[2] 李金华. 网络研究三部曲: 图论、社会网络分析与复杂网络理论[J]. 华南师范大学学报(社会科学版), 2009, 41(2): 136-138.
[3] Otte E, Rousseau R. Social network analysis: a powerful strategy, also for the information sciences[J]. Journal of Information Science, 2002, 28(6): 441-453.
[4] 刘宏鲲, 张效莉, 曹崀, 等. 中国城市航空网络航线链接机制分析[J]. 中国科学G辑: 物理学 力学 天文学, 2009, 39(7): 935-942.
[5] Colizza V, Flammini A, Serrano M A, et al. Detecting rich-club ordering in complex networks[J]. Nature Physics, 2006, 2(2): 110-115.
[6] 章忠志. 复杂网络的演化模型研究[D]. 大连: 大连理工大学, 2006: 2-5.
[7] Borgatti S P, Mehra A, Brass D J, et al. Network Analysis in the Social Sciences[J]. Science, 2009, 323(5916): 892-895.
[8] Lin Z Q, Hou S C, Wu J S. The correlation between editorial delay and the ratio of highly cited papers in Nature, Science and Physical Review Letters[J]. Scientometrics, 2016, 107(3): 1457-1464.
[9] Shen Z S, Yang L Y, Wu J S. Lognormal distribution of citation counts is the reason for the relation between Impact Factors and Citation Success Index[J]. Journal of Informetrics, 2018, 12(1): 153-157.
[10] 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.
[11] Newman M E J. Fast algorithm for detecting community structure in networks[J]. Physical Review E, 2004, 69(6): 066133.
[12] 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, 2008(10): P10008.
[13] Waltman L, Van Eck N J. A smart local moving algorithm for large-scale modularity-based community detection[J]. European Physical Journal B, 2013, 86(11): 471.
[14] Newman M E J, Girvan M. Finding and evaluating community structure in networks[J]. Physical Review E, 2004, 69(2): 026113.
[15] Chen Y W, Börner K, Fang S. Evolving collaboration networks in Scientometrics in 1978–2010: a micro–macro analysis[J]. Scientometrics, 2013, 95(3): 1051-1070.
[16] Khan G F, Park H W. The e-government research domain: A triple helix network analysis of collaboration at the regional, country, and institutional levels[J]. Government Information Quarterly, 2013, 30(2): 182-193.
[17] Han P, Shi J, Li X Y, et al. International collaboration in LIS: global trends and networks at the country and institution level[J]. Scientometrics, 2014, 98(1): 53-72.
[18] Frenken K, Hardeman S, Hoekman J. Spatial scientometrics: Towards a cumulative research program[J]. Journal of Informetrics, 2009, 3(3): 222-232.
[19] Wu J. Geographical knowledge diffusion and spatial diversity citation rank[J]. Scientometrics, 2013, 94(1): 181-201.
[20] Csomos G. A spatial scientometric analysis of the publication output of cities worldwide[J]. Journal of Informetrics, 2018, 12(2): 547-566.
[21] Roesler C, Broekel T. The role of universities in a network of subsidized R&D collaboration: The case of the biotechnology-industry in Germany[J]. Review of Regional Research, 2017, 37(2): 135-160.
[22] Luo Q, Xia J C, Haddow G, et al. Does distance hinder the collaboration between Australian universities in the humanities, arts and social sciences?[J]. Scientometrics, 2018, 115(2): 695-715.
[23] 陈云伟, 方曙. 专利权人关联网络的社会网络分析方法研究[J]. 图书情报知识, 2011(3): 58-66.
[24] Chen Y W, Fang S. Mapping the evolving patterns of patent assignees’ collaboration networks and identifying the collaboration potential[J]. Scientometrics, 2014, 101(2): 1215-1231.
[25] 陈云伟, 邓勇, 陈方, 等. 引擎技术预见模型的构建及实证研究[J]. 图书情报工作, 2017, 61(13): 77-86.
[26] Choe H, Lee D H. The structure and change of the research collaboration network in Korea (2000—2011): network analysis of joint patents[J]. Scientometrics, 2017, 111(2): 917-939.
[27] B
rner K, Dall’Asta L, Ke W M, et al. Studying the emerging global brain: Analyzing and visualizing the impact of co-authorship teams[J]. Complexity, 2005, 10(4): 57-67.
[28] Palla G, Barabasi A L, Vicsek T. Quantifying social group evolution[J]. Nature, 2007, 446(7136): 664-667.
[29] Guimera R, Uzzi B, Spiro J, et al. Team assembly mechanisms determine collaboration network structure and team performance[J]. Science, 2005, 308(5722): 697-702.
[30] Lambiotte R, Panzarasa P. Communities, knowledge creation, and information diffusion[J]. Journal of Informetrics, 2009, 3(3): 180-190.
[31] Moliner L A, Gallardo-Gallardo E, de Puelles P G. Understanding scientific communities: a social network approach to collaborations in Talent Management research[J]. Scientometrics, 2017, 113(3): 1439-1462.
[32] Zheng J, Gong J Y, Li R, et al. Community evolution analysis based on co-author network: a case study of academic communities of the journal of “Annals of the Association of American Geographers”[J]. Scientometrics, 2017, 113(2): 845-865.
[33] Mao J, Cao Y J, Lu K, et al. Topic scientific community in science: a combined perspective of scientific collaboration and topics[J]. Scientometrics, 2017, 112(2): 851-875.
[34] 陈云伟, 邓勇, 陈方, 等. 复合合作强度指数构建及应用研究[J]. 图书情报工作, 2015, 59(13): 96-103.
[35] Abbasi A, Altmann J, Hossain L. Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures[J]. Journal of Informetrics, 2011, 5(4): 594-607.
[36] Bettencourt L M A, Kaiser D I, Kaur J. Scientific discovery and topological transitions in collaboration networks[J]. Journal of Informetrics, 2009, 3(3): 210-221.
[37] Bar-Ilan J. Informetrics at the beginning of the 21st century—A review[J]. Journal of Informetrics, 2008, 2(1): 1-52.
[38] 陈云伟. 引文网络演化研究进展分析[J]. 情报科学, 2016, 34(8): 171-176.
[39] 吴海峰, 孙一鸣. 引文网络的研究现状及其发展综述[J]. 计算机应用与软件, 2012, 29(2): 164-168.
[40] 邱均平, 董克. 引文网络中文献深度聚合方法与实证研究——以WOS数据库中XML研究论文为例[J]. 中国图书馆学报, 2013, 39(2): 111-120.
[41] Wanjantuk P, Keane J A. Finding related documents via communities in the citation graph[C]// Proceedings of the International Symposium on Communications and Information Technology. IEEE, 2004: 445-450.
[42] Kajikawa Y, Yoshikawa J, Takeda Y, et al. Tracking emerging technologies in energy research: Toward a roadmap for sustainable energy[J]. Technological Forecasting and Social Change, 2008, 75(6): 771-782.
[43] Ren F X, Shen H W, Cheng X Q. Modeling the clustering in citation networks[J]. Physica A: Statistical Mechanics and Its Applications, 2012, 391(12): 3533-3539.
[44] Chen W L, Fengxia Y X, Wang G. Community discovery algorithm of citation semantic link network[C]// Proceedings of the 2013 Sixth International Symposium on Computational Intelligence and Design. Washington, DC: IEEE Computer Society, 2013: 289-292.
[45] 肖雪, 陈云伟, 邓勇. 基于节点内容及拓扑结构的引文网络社团划分[J]. 图书情报知识, 2017(1): 89-97.
[46] 肖雪, 王钊伟, 陈云伟, 等. 基于样本加权的引文网络的社团划分[J]. 图书情报工作, 2016, 60(20): 86-93.
[47] 尹丽春, 刘泽渊. 《科学计量学》引文网络的演化研究[J]. 中国科技期刊研究, 2006, 17(5): 718-722.
[48] Chen P, Redner S. Community structure of the physical review citation network[J]. Journal of Informetrics, 2010, 4(3): 278-290.
[49] Börner K, Klavans R, Patek M, et al. Design and update of a classification system: The UCSD map of science[J]. PLoS ONE, 2012, 7(7): e39464.
[50] 陈云伟, 许轶, 王立娜, 等. 基于网络结构的科研单元的科研范式研究[J]. 图书情报知识, 2016(5): 53-61.
[51] Batagelj V. Efficient algorithms for citation network analysis[EB/OL]. [2015-12-18]. http://www.researchgate.net/publication/1956732.
[52] Wei L, Liu C J, Xu H Y, et al. Main path identification involving article’s associated attribute: A case study of synthetic biology[C]// Proceedings of the 16th International Conference on Scientometrics and Informetrics, Wuhan, 2017: 599-610.
[53] Boyack K W, Klavans R, Börner K. Mapping the backbone of science[J]. Scientometrics, 2005, 64(3): 351-374.
[54] He Q. Knowledge discovery through co-word analysis[J]. Library Trends, 1999, 48(1): 133-159.
[55] Callon M, Courtial J P, Laville F. Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry[J]. Scientometrics, 1991, 22(1): 155-205.
[56] Ding Y, Chowdhury G G, Foo S. Bibliometric cartography of information retrieval research by using co-word analysis[J]. Information Processing & Management, 2001, 37(6): 817-842.
[57] Su H N, Lee P C. Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in technology foresight[J]. Scientometrics, 2010, 85(1): 65-79.
[58] Ji Y J, Jiang Y, He L. An evaluation method based on co-word clustering analysis – Case study of Internet + Innovation and entrepreneurship economy[C]// Proceedings of the International Conference on Geo-Spatial Knowledge and Intelligence. Singapore: Springer,.2018, 849: 585-595.
[59] Wu D S, Song Y, Xie K F, et al. Traits and causes of environmental loss-related chemical accidents in China based on co-word analysis[J]. Environmental Science and Pollution Research, 2018, 25(18): 18189-18199.
[60] Zhao F K, Shi B, Liu R X, et al. Theme trends and knowledge structure on choroidal neovascularization: a quantitative and co-word analysis[J]. BMC Ophthalmology, 2018, 18: 86.
[61] Feng J, Zhang Y Q, Zhang H. Improving the co-word analysis method based on semantic distance[J]. Scientometrics, 2017, 111(3): 1521-1531.
[62] Wang M Y, Chai L H. Three new bibliometric indicators/approaches derived from keyword analysis[J]. Scientometrics, 2018, 116(2): 721-750.
[63] 杨璧嘉, 张旭. 专利网络分析在技术路线图中的应用[J]. 现代图书情报技术, 2008(5): 61-66.
[64] Salton G, Wong A, Yang C S. A vector space model for automatic indexing[J]. Communication of ACM, 1975, 18(11): 613-620.
[65] Yoon J, Kim K. Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks[J]. Scientometrics, 2011, 88(1): 213-228.
[66] Rosen-Zvi M, Griffiths T, Steyvers M, et al. The author-topic model for authors and documents[C]// Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence. Arlington: AUAI Press, 2004: 487-494.
[67] 蔡永明, 长青. 共词网络LDA模型的中文短文本主题分析[J]. 情报学报, 2018, 37(3): 305-317.
[68] Boyack K W, Börner K, Klavans R. Mapping the structure and evolution of chemistry chemistry research[J]. Scientometrics, 2009, 79(1): 45-60.
[69] Gress B. Properties of the USPTO patent citation network 1963-2002[J]. World Patent Information, 2010, 32(1): 3-21.
[70] Whitfield J. Group theory[J]. Nature, 2008, 455(7214): 720-723.
[71] Börner K, Boyack K. Mapping interdisciplinary research (sidebar, systems science section)[M]. New York: Oxford University Press, 2010: 457-460. |
|
|
|
