[1]LI Shanshan,LIU Wei,GAO Hong.Research on the co-competition network of the regional port group based on basic-element theory[J].CAAI Transactions on Intelligent Systems,2017,12(1):15-23.[doi:10.11992/tis.201603007]
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Research on the co-competition network of the regional port group based on basic-element theory

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 12 Number of periods: 2017 1 Page number: 15-23 Column: 学术论文—智能系统 Public date: 2017-02-25
Title:
Research on the co-competition network of the regional port group based on basic-element theory
Author(s):
LI Shanshan1;  LIU Wei2;  GAO Hong2
1. Transport Management College, Dalian Maritime University, Dalian 116026, China;
2. Department of Mathematics, Dalian Maritime University, Dalian 116026, China
Keywords:
regional port group; co-competition; network analysis; Extenics; basic-element; social network analysis; centrality; structural hole
CLC:
TP18;F224.33
DOI:
10.11992/tis.201603007
Abstract:
This paper focuses on the complexity and multiplicity problem of the co-competition relationship in the regional port group. Based on the basic-element theory in Extenics, a new method was proposed to construct complex network models. This new method makes it possible to analyze multiple relationships concurrently.After the regional port group co-competition network model was built, the structural characteristics and social attributes of the network were researched using the methods of Ward clustering, network density, network centrality analysis, and structure hole analysis, etc.The results are useful for the port administrators for their management decisions. Furthermore, the port group of Pearl River Delta was selected as an example to prove the validity of the above models. The major conclusions include three aspects. One, the centrality of one port is in accordance with its level in the group. Two, if some feed ports have high centrality in a competition network, in all probability, they have indistinct development orientation or excessive competition. Three, if one port is fed by another port with high centrality, then it will be strongly restricted by that port.
References:
[1] AHUJA G. Collaboration networks, structural holes, and innovation: a longitudinal study[J]. Administrative science quarterly, 2000, 45(3): 425-455.
[2] NEWMAN M E J. The structure and function of complex networks[J]. SIAM review, 2003, 45(2): 167-256.
[3] NEWMAN M E J. Scientific collaboration networks. I. Network construction and fundamental results[J]. Physical review E, 2001, 64(1): 016131.
[4] 李珊珊, 刘巍, 高红. 基于可拓基元理论的复杂社会网络分析模型[J]. 科技导报, 2014, 32(36): 21-25. LI Shanshan, LIU Wei, GAO Hong. A complex social network analysis model based on extenics basic-element theory[J]. Science & technology review, 2014, 32(36): 21-25.
[5] 刘巍, 张秀芳. 基于可拓信息的知识表示[J]. 系统工程理论与实践, 1998(1): 104-107. LIU Wei, ZHANG Xiufang. Knowledge representation on basis of extension information[J]. Systems engineering-theory & practice, 1998(1): 104-107.
[6] 杨春燕, 李志明. 基于可拓学的社会网络结构研究[J]. 广东工业大学学报, 2014, 31(1): 1-6. YANG Chunyan, LI Zhiming. Extenics based social network structure[J]. Journal of Guangdong university of technology, 2014, 31(1): 1-6.
[7] MALCHOW M, KANAFANI A. A disaggregate analysis of factors influencing port selection[J]. Maritime policy & management: the flagship journal of international shipping and port research, 2001, 28(3): 265-277.
[8] 杨春燕, 蔡文. 可拓学[M]. 北京: 科学出版社, 2014.
[9] 徐敏杰. 集装箱港口网络的层系化分析与启示[J]. 中国航海, 2012, 35(2): 106-109. XU Minjie. Analysis of container port network based on layering concept[J]. Navigation of China, 2012, 35(2): 106-109.
[10] DEMATTEI C, MOLINARI N, DAUR S J P. Arbitrarily shaped multiple spatial cluster detection fore case event data[J]. Computational statistics & data analysis, 2007, 51(8): 3931-3945.
[11] BOCCALETTI S, LATORA V, MORENO Y, et al. Complex networks: structure and dynamics[J]. Physics reports, 2006, 424(4/5): 175-308.
[12] 刘军. 社会网络分析导论[M]. 北京: 社会科学文献出版社, 2004.
[13] LAMBIOTTE R, AUSLOOS M, HOYST J A. Majority model on a network with communities[J]. Physical reviewe, 2007, 75(3): 030101.
[14] 罗家德. 社会网分析讲义[M]. 2版. 北京: 社会科学文献出版社, 2010.
[15] BURT R S. Structural holes: the social structure of competition[M]. New York: Cambridge University Press, 1995.
[16] AHUJA G. Collaboration networks, structural holes, and innovation: a longitudinal study[J]. Administrative science quarterly, 2000, 45(3): 425-455.
[17] 刘军. 整体网分析讲义: UCINET软件实用指南[M]. 上海: 格致出版社, 2009.
[18] SCOTT J. Social network analysis: a handbook[M]. 2nd ed. New York: SAGE Publications, 2000.
[19] BORGATTI S P, EVERETT M G, FREEMAN L C. UCINET6 for windows software for social network analysis[P]. Harvard: Analytic Technologies, 2002.
[20] WELLMAN B. The community question: the intimate networks of east Yorkers[J]. American journal of sociology, 1979, 84(5): 1201-1231.
[21] BORGATTI S P. NetDraw: graph visualization software[Z]. Harvard: Analytic Technologies, 2002.
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