[Purpose/significance] This paper compares the performance of direct citation network and bibliographic coupling network for detecting emerging trends with collective dynamics method. [Method/process] First, we analyzed the characteristics and the difference on emerging trends detection of three kinds of knowledge networks:direct citation, bibliographic coupling and co-citation network. Then, an empirical study on bibliographic coupling network was performed based on the emerging trends detection model of collective dynamics. [Result/conclusion] Compared with previous studies, it is found that the prediction result of collective dynamics method on the direct citation network is priority to the result of baseline method on the same network, but in terms of the bibliographic coupling network, the collective dynamics method shows no priority to the baseline method.
Wan Xiaoping
,
Liu Xiang
. Different Performance of Collective Dynamics Method for Detecting Trends Between Different Citation Networks[J]. Library and Information Service, 2017
, 61(8)
: 74
-80
.
DOI: 10.13266/j.issn.0252-3116.2017.08.009
[1] GARFIELD E. Citation indexes for science[J]. Science, 1956, 123(3185):61-62.
[2] 陈超美. CiteSpace Ⅱ:科学文献中新趋势与新动态的识别与可视化[J]. 情报学报, 2009, 28(3):401-421.
[3] GARFIELD E, MERTON R K. Citation indexing:its theory and application in science, technology, and humanities (Vol. 8)[M]. New York:Wiley, 1979.
[4] PRICE D J. Networks of scientific papers[J]. Science, 1965, 149(3683):510-515.
[5] LIU X, MA F C. Transfer and distribution of creative activity for bio-scientist in knowledge spaces[J]. Scientometrics, 2013, 95(1):299-310.
[6] FUJITA K, KAJIKAWA Y, MORI J, et al. Detecting research fronts using different types of weighted citation networks[C]//Technology management for emerging technologies. Columbia:IEEE, 2012:267-275.
[7] SERENKO A, DUMAY J. Citation classics published in knowledge management journals. Part Ⅱ:studying research trends and discovering the Google Scholar effect[J]. Journal of knowledge management, 2015, 19(6):1335-1355.
[8] ZHAO D, STROTMANN A. The knowledge base and research front of information science 2006-2010:an author cocitation and bibliographic coupling analysis[J]. Journal of the Association for Information Science and Technology, 2014, 65(5):995-1006.
[9] 陈悦, 刘则渊. 悄然兴起的科学知识图谱[J]. 科学学研究, 2005, 23(2):149-154.
[10] 赵蓉英, 邱均平. 知识网络研究(I)——知识网络概念演进之探究[J]. 情报学报, 2007, 26(2):198-209.
[11] 刘向, 马费成, 陈潇俊, 等. 知识网络的结构与演化:概念与理论进展[J]. 情报科学, 2011, 29(6):801-809.
[12] SHIBATA N, KAJIKAWA Y, TAKEDA Y, et al. Comparative study on methods of detecting research fronts using different types of citation[J]. Journal of the American Society for Information Science and Technology, 2009, 60(3):571-580.
[13] BOYACK K W, KLAVANS R. Co-Citation analysis, bibliographic coupling, and direct citation:which citation approach represents the research front most accurately?[J] Journal of the American Society for Information Science and Technology, 2010, 61(12):2389-2404.
[14] CHANG Y W, HUANG M H, LIN C W. Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses[J]. Scientometrics, 2015, 105(3):2071-2087.
[15] ŠUBELJ L, JAN V E N, LUDO W. Clustering scientific publications based on citation relations:a systematic comparison of different methods[J/OL]. PLOS ONE, 2016, 11(4):e0154404[2017-05-04]. http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0154404&type=printable.
[16] JAB?ON'SKA-SABUKA M, SITARZ R, KRASLAWSKI A. Forecasting research trends using population dynamics model with Burgers' type interaction[J]. Journal of informetrics, 2014, 8(1):111-122.
[17] LIU X, JIANG T T, MA F C. Collective dynamics in knowledge networks:emerging trends analysis[J]. Journal of informetrics, 2013, 7(2):425-438.
[18] CLAUSET A, NEWMAN M E J, MOORE C. Finding community structure in very large networks[J]. Physical review E, 2004, 70(6):066111.
[19] BIGLU M H. The influence of references per paper in the SCI to impact factors and the Matthew effect[J]. Scientometrics, 2008, 74(3):453-470.