[Purpose/significance] Author co-citation network analysis (ACNA) is an important method in bibliometrics which aims to map knowledge domains and to guide scientific research by considering cocitation relationships between author pairs in dataset (see reference #1). However, it is criticized that the amount of information in raw co-citation matrix is limited in ACNA. This paper proposes hybrid author co-citation network (HACNA) in order to map knowledge domains more accurately.[Method/process] Because the accuracy of mapping knowledge domains could be improved due to different perspectives provided by multiple scholarly networks, this paper combines other types of scholarly networks (taking coauthorship networks and citation networks as examples) into ACNA to show more accurate knowledge domain maps, which is call hybrid author co-citation network analysis (HACNA).[Result/conclusion] Results show that compared with ACNA, HACNA makes authors in the same category closer and authors in different categories farther in knowledge domain maps clustering, and thus promotes the clustering performance and visualization. Moreover, it is able to mine more details.
Huang Wenbin
,
Meng Wangyang
,
Bu Yi
. Improvements on Mapping Knowledge Domains by Using Hybrid Author Co-citation Network[J]. Library and Information Service, 2017
, 61(3)
: 118
-124
.
DOI: 10.13266/j.issn.0252-3116.2017.03.015
[1] 步一, 刘天祎, 赵丹群, 等. 国外作者共引分析研究评述[J]. 情报杂志, 2015, 34(12):48-53.
[2] WHITE H D, GRIFFITH B C. Author cocitation:a literature measure of intellectual structure[J]. Journal of the American Society for Information Science, 1981, 32(3):163-171.
[3] McCAIN K W. Mapping authors in intellectual space:A technical overview[J]. Journal of the American Society for Information Science, 1990, 41(6):433-443.
[4] 步一, 刘天祎, 黄文彬. 优化传统作者共引分析的研究初探:综合引文发表时间信息的作者共引分析方法[J]. 图书情报知识, 2015, 32(6):89-97.
[5] ANEGÓN F D M, CONTRERAS E J, CORROCHANO M. Research fronts in library and information science in Spain (1985-1994)[J]. Scientometrics, 1998, 42(2):229-246.
[6] CHARVET F F, COOPER M C, GARDNER J T. The intellectual structure of supply chain management:a bibliometrics approach[J]. Journal of business logistics, 2008, 29(1):47-73.
[7] JEONG Y,SONG M,DING Y. Content-based author co-citation analysis[J]. Journal of informetrics,2014,8(1):197-211.
[8] 尹丽春. 科学学引文网络的结构研究[D]. 大连:大连理工大学, 2006.
[9] SMALL H. Co-Citation in the scientific literature:A new measure of the between two documents[J]. Journal of the American Society for Information Science, 1973, 24(4):265-269.
[10] McCAIN K W. Mapping economics through the journal literature:an experiment in journal co-citation analysis[J]. Journal of the American Society for Information Science, 1991, 42(4):290-296.
[11] 杜晖. 基于耦合关系的学术信息资源深度聚合研究[D]. 武汉:武汉大学, 2013.
[12] NEWMAN M E. Coauthorship networks and patterns of scientific collaboration[J]. Proceedings of the National Academy of Sciences, 2004, 101(suppl 1), 5200-5205.
[13] DING Y. Scientific collaboration and endorsement:network analysis of coauthorship and citation networks[J]. Journal of informetrics, 2011, 5(1):187-203.
[14] 张斌. 共词网络的结构与演化:概念与理论进展[J]. 情报杂志, 2014, 33(7):103-109.
[15] TANG J, JIN R, ZHANG J. A topic modeling approach and its integration into the random walk framework for academic search[C]//Proceeding of the 2008.Eighth IEEE International Conference on Data Mining. Washington, DC:IEEE Computer Society,2008:1055-1060.
[16] 甘特马赫尔.矩阵论[M]. 柯召, 郑元禄,译.哈尔滨:哈尔滨工业大学出版社, 2013.
[17] 金在温,米勒. 因子分析:统计方法与应用问题[M]. 叶华,译.上海:格致出版社, 上海人民出版社, 2012.
[18] TANG J, ZHANG J, YAO L, et al. ArnetMiner:extraction and mining of academic social networks[C]//ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York:ACM Press,2008:990-998.
[19] R软件包[EB/OL].[2016-09-02].https://www.r-project.org.
[20] YAN E, DING Y. Scholarly network similarities:how bibliographic coupling networks, citation networks, co-citation networks, topical networks, coauthorship networks, and co-word networks relate to each other[J]. Journal of the Association for Information Science and Technology, 2012, 63(7):1313-1326.
[21] WHITE H D, McCAIN K W. Visualizing a discipline:an author co-citation analysis of information science 1972-1995[J]. Journal of the American Society for Information Science, 1998, 49(4):327-335.
[22] ZHAO D, STROTMANN A. Comparing all-author and first-author co-citation analyses of information science[J]. Journal of informetrics, 2008, 2(3):229-239.
[23] HAIR J F, ANDERSON R E, TATHAM R L, et al. Multivariate data analysis[M]. 5th edition. Upper Saddle River, NJ:Prentice Hall, 1998.
[24] 刘易斯. 计算机科学概论(原书第3版)[M]. 张欣,等译.北京:机械工业出版社, 2009.
[25] NEWMAN M E. Modularity and community structure in networks[J]. Proceedings of the National Academy of Sciences, 2006, 3(23):8577-8582.
[26] 胡一凡. 最优结构图:从复杂关系中发现规律[M]. 上海:上海科学技术出版社, 2007.
[27] JACOMY M, VENTURINI T, HEYMANN S, et al. ForceAtlas2, a continuous graph layout algorithm for handy network visualization[J]. PLoS ONE, 2014, 9(6).DOI:10.1371/journal.pone.0098679.
[28] BU Y, LIU T, HUANG W. MACA:A modified author co-citation analysis method combined with general descriptive metadata of citations[J], Scientometrics, 2016, 108(1):143-166.
[29] DING Y, YAN E, FRAZHO A, et al. PageRank for ranking authors in co-citation networks[J]. Journal of the American Society for Information Science and Technology, 2009, 60(11):2229-2243.
