[1]Schweiter F, Fagiolo G, Sornette D, et al. Economic networks: the new challenges[J]. Science, 2009, 325(5939):422425.
[2]米歇尔·沃尔德罗普.复杂——诞生于秩序与混沌边缘的科学[M]. 陈玲.北京:生活·读书·新知三联书店, 1997.
[3]张维, 武自强, 张永杰,等. 基于复杂金融系统视角的计算实验金融:进展与展望[J]. 管理科学学报, 2013, 16(6):8594.
Zhang W, Wu Z Q, Zhang Y J, et. al.Agent-based computational financeon complex financial system perspective: progress and prospects[J].Journal of Management Sciences in China, 2013, 16(6):8594.
[4]应尚军, 范英. 股票市场的演化与复杂[M]. 北京: 经济管理出版社, 2013.
[5]Schelling T C. Dynamic models of segregation[J]. Journal of Mathematical Sociology, 1971, 1:143186.
[6]Erdosn P andPalka Z. Trees in random graphs[J]. Diserete Mathematies, 1983, 46(2):145150.
[7]Holland J H. Adaptation in Natural and Artificial Systems[M]. Cambridge, MA: MIT Press, 1992.
[8]Dawid H. Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economic Models[M]. Heidelberg: Springer Verlag, 1996.
[9]Epstein J M, Axtell R. Growing Artificial Societies from the Bottom Up[M]. Cambridge, Ma: Mit Press, 1996.
[10] Watts D J, Strogatz S H. Collective dynamics of small-world networks[J]. Nature, 1998, (393):440442.
[11] Barabasi A L, Albert R. Emergence of sealing in random networks[J]. Science, 1999, (286):509512.
[12] 王维红. 国际贸易网络中金融危机跨国传播:基于复杂网络理论[D]. 上海:东华大学, 2012.
Wang W H. Financial crisis propagation in international trade network: based on complex network theory[D]. Shanghai: Donghua University,2012.
[13] Callaway D S, Newman M E, Steven H S, et. al. Network robustness and fragility: percolation on random graphs[J]. Physical Review Letters, 2000, 85(5):54685471.
[14] Vragovic I, Louis E, Diaz-Guilera A. Efficiency of informational transfer in regular and complex networks[J]. Phys E, 2005, 71(3): 19.
[15] 任小叶. 基于复杂网络的金融市场建模方法研究[D]. 合肥:中国科技大学博士学位论文, 2013.
Ren Xiaoye. Research on financial market modeling based on complex networks[D]. Hefei: University of Science and Technology of China, 2013.
[16] 崔迪. 群落结构的复杂网络及其交通行为的研究[D]. 北京:北京交通大学, 2009.
Cui Di. Studies on complex networks with community structure and its traffic behavior[D].Beijing: Beijing Jiaotong University, 2009.
[17] 李勇. 复杂网络理论与应用研究[D]. 广州: 华南理工大学, 2005.
Li Yong. Researches on the theory and application of complex network[D]. Guangzhou: South China University of Technology, 2005.
[18] Newman M E. The structure and function of complex networks[J]. SIAM Review, 2003, (45):167256.
[19] Ji Q, Zhang H Y, Fan Y. Identification of global oil trade patterns: an empirical research based on complex network[J]. Theory Energy Conversion and Management, 2014, (85):856865.
[20] 程淑佳, 赵映慧, 李秀敏. 基于复杂网络理论的原油贸易空间格局差异分析[J]. 中国人口资源与环境, 2013, 23(8):2025.
Cheng S J, Zhao Y H, Li X M. Differences in spatial pattern of main nations’ crude oil trade on complicated network theory[J]. China Population, Research and Environment, 2014, (85):856865.
[21] 杨鑫, 安海忠, 高湘昀. 国际天然气贸易关系网络结构特征研究:基于复杂网络理论[J]. 资源与产业, 2012, 14(2):8187.
Yang Xin, An Haizhong, Gao Xiangyun. Structural features of global gas trading relationship network based on complex network theory[J]. Resources & Industries, 2012, 14(2):8187.
[22] 郝晓晴, 安海忠, 陈玉蓉,等. 基于复杂网络的国际铁矿石贸易演变规律研究[J]. 经济地理, 2013, 33(1):9297.
Hao Xiaoqing, An Haizhong, Chen Yurong, et al. Research on evolution of international iron ore trade based on complex network theory[J]. Economic Geography, 2013, 33(1):9297.
[23] 傅庆玲, 石海佳, 李杨,等. 复杂网络视角的有机化学品国际贸易分析[J]. 广州化工, 2013, 41(12):17.
Fu Q L, Shi H J, Li Y, et. al. Network analysis of global organic chemicals trade[J].Guangzhou Chemical Industry, 2013, 41(12):17.
[24] 任素婷, 崔雪峰, 樊瑛. 复杂网络视角下中国国际贸易地位的探究[J]. 北京师范大学学报(自然科学版), 2013, 49(1):9095.
Ren Suting, Cui Xuefeng, Fan Ying. Analysis of china’s position in international trade based on a complex network perspective[J]. Journal of Beijing Normal University (Natural Science), 2013, 49(1):9095.
[25] Kali R, Reyes J. Financial Contagion on the International Trade Network[J]. Economic Inquiry, 2010, 48(4):10721101.
[26] Ercsey-Ravasz M, Toroczkai Z, Lakner Z, et al. Complexity of the International Agro-Food Trade Network and Its Impact on Food Safety[J]. PLoS ONE, 2012, 7(5):18.
[27] Mahutga M C. The persistence of structural inequality—A network analysis of international trade 19652000[J]. Social Force, 2006, 84(4):18631889.
[28] 程淑佳, 王肇钧. 复杂网络理论下世界原油贸易空间格局演进研究[J]. 地理科学, 2011, 31(11):13421348.
Cheng Shujia, Wang Zhaojun. Evolution of spatial pattern of world crude oil trade based on complicated network theory[J].ScientiaGeographicaSinica, 2011, 31(11):13421348.
[29] Ruzzenenti F, Garlaschelli D, Basosi R. Complex networks and symmetry II: reciprocity and evolution of world trade[J]. Symmetry, 2010, (2): 17101744.
[30] 曹监平, 晁静. 国际资本流动的政治经济学分析—基于全球生产网络的视角[J]. 郑州师范教育, 2013, 2(1):9296.
Cao Jianping, Chao Jing. Political economy analysis of international capital flows: a perspective from international production network[J]. Journal of Zhengzhou Normal Education, 2013, 2(1):9296.
[31] Arthur W B, Durlauf S N. The Economy as an Evolving Complex System Ⅱ[M]. New Jersey: AddisonWesley, 1997.
[32] 应尚军,魏一鸣,蔡嗣经.元胞自动机及其在经济学中的应用[J].中国管理科学,2000,(11):272278.
Ying Shangjun, Wei Yiming, Cai Sijing. On cellular automata and its application to economics[J]. Chinese Journal of Management Science, 2000,(11):272278.
[33] 应尚军,魏一鸣,蔡嗣经.基于元胞自动机的股票市场投资行为模拟[J].系统工程学报,2001,16(5):382388.
Ying Shangjun, Wei Yiming, Cai Sijing. Cellular automata based behavior simulation of stock market investment[J]. Journal of Systems Engineering, 2001,16(5):382388.
[34] Wei Y M, Ying S J, Fan Y, et.al. The cellular automaton model of investment behavior in the stock market[J]. Physica A: Statistical Mechanics and Its Applications, 2003, 325(3/4):507516.
[35] 应尚军, 魏一鸣, 范英,等. 基于元胞自动机的股票市场复杂性研究——投资者心理与市场行为[J]. 系统工程理论与实践, 2003, 23(12):1824.
Ying Shangjun, Wei Yiming, Fan Ying, et al. Study on complexity of stock market based on cellular automata[J]. Systems Engineering-Theory & Practice, 2003, 23(12):1824.
[36] 应尚军. 矿业资本市场复杂性研究[D]. 北京科技大学博士学位论文, 2003.
Ying Shangjun. Research on complexity of mining capital market[D].University of Science and Technology BeijingPhD dissertations, 2003.
[37] 应尚军, 范英, 魏一鸣, 等. 基于投资分析的股票市场演化元胞自动机模型[J]. 管理评论, 2004, 16(11):49.
Ying Shangjun, Fan Ying, Wei Yiming, et. al. An investment analysis based cellular automaton model for evolving simulation in stock market[J]. Management Review, 2004, 16(11):49.
[38] Fan Y, Ying S J, Wang B H, et. al. The effect of investor psychology on the complexity of stock market: an analysis based on cellular automaton model[J]. Computers & Industrial Engineering, 2009, 56(1):6369.
[39] 应尚军, 唐瑞, 蔡嗣经. 股票市场的外部因素与市场均衡[J]. 合肥工业大学学报, 2006, (9):11061110.
Ying Shangjun, Tang Rui, Cai Sijing. Relationship between outside factors and market equilibrium in stock markets[J]. Journal of Hefei University of Technology, 2006, (9):11061110.
[40] 应尚军, 范英, 魏一鸣. 单支股票市场的元胞自动机模型及其动力学研究[J]. 系统工程, 2006, 24(7):3136.
Ying Shangjun, Fan Ying, Wei Yiming. A CA model for single stock market and its dynamical analysis[J]. Systems Engineering, 2006, 24(7):3136.
[41] 应尚军. 沪深股市动力学特征及其与从众心理的关系研究[J]. 中国管理科学, 2012, 20(专辑):439444.
Ying S J. Study on dynamic characteristics of Chinese stock market and its relationship with imitation psychology[J].Chinese Journal of Management Science, 2012, 20(Special Issue):439444.
[42] 应尚军, 范英. 股市演化的遗传元胞自动机模型[J]. 复杂系统与复杂性科学, 2013, 10(1):2637.
Ying Sijin, Fan Ying. Genetic cellular automata model of evolving stock market[J]. Complex Systems and Complexity Science,2013, 10(1):2637.
[43] Ying S J and Fan Y. Complexity In The Chinese Stock Market And Its Relationships With Monetary Policy Intensity[J]. Physica A: Statistical Mechanics and its Applications, 2014, 394(1):338345.
[44] Ying S J, Li X J, Zhong X Q. Initial Value Sensitivity of the Chinese Stock Market and ItsRelationship With the Investment Psychology[J]. International Journal of Modern Physics C, 2015, 26(11): 15501281155012816.
[45] 李昊, 曹宏铎, 邢浩克. 基于复杂网络少数者博弈模型的金融市场仿真研究[J]. 系统工程理论与实践, 2012, 32(9):18821890.
Li Hao, Cao Hongduo, Xing Haoke. Modeling and simulation of complex finance networks based on minority game[J]. Systems Engineering—Theory& Practice, 2012, 32(9):18821890.
[46] 殷成龙. 基于少数者博弈模型和复杂网络理论的人工金融市场建模研究[D]. 杭州:浙江大学, 2007.
Yin Chenglong. Study on modeling of the artificial financial market based on minority game model and complex network[D]. Hangzhou:Zhejiang University Master dissertations,2007.
