网络化地理空间的元胞自动机群体时空格局仿真模型研究

doi:10.3724/SP.J.1047.2016.00167

摘要/Abstract

摘要：

计算机网络的出现,显著地改变了地理空间的相关性。在网络化地理空间中,相关事件、现象、消息的特定网络信息流达到一定程度时,可能引发并塑造群体的特定时空分布格局。因此,针对网络化地理空间特性,基于元胞自动机模型,构建了网络化地理空间元胞自动机仿真模型。仿真实验结果表明：(1) 网络化地理空间中,元胞群体意见存在5种分布;(2) 元胞在空间上呈现出聚集的时空分布格局。研究结果将有助于理解网络化地理空间中针对特定事件、现象、消息的信息流对群体时空分布格局的影响,为网络环境下特定事件、现象的群体时空分布格局分析提供依据。

关键词: 网络化地理空间, 网络信息流, 元胞自动机, 群体时空格局, 仿真

Abstract:

The correlation of geographic space has been significantly changed with the emergence of computer networks. In networked geographic spaces, network traffics that related to specific events, phenomena, or messages may lead to a particular group spatial-temporal distribution pattern when they reach a certain level. Therefore, for specific or targeted audiences, this will give rise to an unexpected result. Due to the characteristics of networked geographic space, by combining computer networks with geography, this paper built a cellular automata simulation model for networked geographic spaces. Simulation results show that: (1) there are five types of distributions for the cellular views in networked geographic spaces; (2) cellular spatial aggregation patterns exist in those spaces. The results can help us better understand the impact of information flow, which is related to specific events, phenomena, or messages, on the group spatial-temporal patterns in networked geographic spaces. They also provide the basis for analyzing the group spatial-temporal distributions of specific events.

Key words: networked geographic space, network traffic, cellular automata, group spatial-temporal pattern, simulation

陈建华, 涂文洋. 网络化地理空间的元胞自动机群体时空格局仿真模型研究[J]. 地球信息科学学报, 2016, 18(2): 167-174.DOI:10.3724/SP.J.1047.2016.00167

CHEN Jianhua,TU Wenyang. Simulation of Group Spatial-Temporal Patterns Under Networked Geographic Space Based on Cellular Automata[J]. Journal of Geo-information Science, 2016, 18(2): 167-174.DOI:10.3724/SP.J.1047.2016.00167

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参考文献 26

[1]	The 27th China internet development statistics report[ED/OL]. .
[2]	Hutchinson W.Cyber influence[C]. Proceedings of the 10th Australian Information Warfare and Security Conference, Perth, Australia, December, 2009:61-65.
[3]	Kuhn T S.The structure of scientific revolutions[M]. Chicago: University of Chicago press, 2012.
[4]	Tapscott D, Caston A.Paradigm Shift: The new promise of information technology[M]. New York: McGraw Hill, Inc., 1993.
[5]	李小文,曹春香,常超一.地理学第一定律与时空邻近度的提出[J].自然杂志,2007,29(2):69-71. doi: 10.3969/j.issn.0253-9608.2007.02.002
	[ Li X W, Cao C X, Chang C Y.The first law of geography and spatial-temporal proximity[J]. Journal of Nature, 2007,29(2):69-71. ] doi: 10.3969/j.issn.0253-9608.2007.02.002
[6]	汪明峰. 浮现中的网络城市的网络——互联网对全球城市体系的影响[J].城市规划,2004,28(8):26-32. doi: 10.3321/j.issn:1002-1329.2004.08.004
	[ Wang M F.The impact of internet on global urban system[J]. Planning Study, 2004,28(8):26-32. ] doi: 10.3321/j.issn:1002-1329.2004.08.004
[7]	孙中伟,金凤君.信息与通信技术对空间组织的影响及其空间效率的测算[J].地域研究与开发,2010,29(1):49-54. doi: 10.3969/j.issn.1003-2363.2010.01.010
	[ Sun Z W, Jin F J.The impact of ICT on spatial organization and the computation of its efficiency[J]. Areal Research and Development, 2010,29(1):49-54.] doi: 10.3969/j.issn.1003-2363.2010.01.010
[8]	程寅钊,徐涛,彭勤科,等.具有社团和个体差异性的舆论传播动力学分析[J].系统工程学报,2012,27(4):431-438. doi: 10.3969/j.issn.1000-5781.2012.04.001
	[ Chen Y Z, Xu T, Peng Q K.Opinion dynamics with the different community and individual characteristics[J]. Journal of system engineering, 2012,27(4):431-438. ] doi: 10.3969/j.issn.1000-5781.2012.04.001
[9]	张峰,吴斌,王柏,等.基于决策偏移的舆论演化动力学模型[J].系统工程理论实践,2014,34(s1):172-178.
	[ Zhang F, Wu B, Wang B, et al.Decision offset based dynamics opinion model[J]. System Engineering-Theory & Practice, 2014,34(s1):172-178. ]
[10]	熊菲,刘云,司夏萌,等.不完全信息下的群体决策仿真[J].系统工程理论与实践,2011,31(1):151-157.
	[ Xiong F, Liu Y, Si X M, et al.Simulation of collective decision-making with incomplete information[J]. System Engineering-Theory & Practice, 2011,31(1):151-157. ]
[11]	王根生. 面向群体极化的网络舆情演化研究[D].南昌:江西财经大学, 2011.
	[ Wang G S.Research on evolution of group polarization oriented internet public opinion[D]. Nanchang: Thesis of Jiangxi University of Finance & Economics, 2011. ]
[12]	刘常昱,胡晓峰,司光亚,等. 舆论涌现模型研究[J].复杂系统与复杂性科学,2007,4(1):22-27. doi: 10.3969/j.issn.1672-3813.2007.01.004
	[ Liu C Y, Hu X F, Si G Y, et al.Study on the consensus emergency model[J]. Complex Systems and Complexity Science, 2007,4(1):22-27.] doi: 10.3969/j.issn.1672-3813.2007.01.004
[13]	陈桂茸,蔡皖东,徐会杰,等.网络舆论演化的高影响力优先有限信任模型[J].上海交通大学学报,2013,47(1):155-160.
	[ Chen G R, Cai W D, Xu H J.High-Effect priority bounded confidence model for network opinion evolution[J]. Journal of Shanghai Jiao Tong University, 2013,47(1):155-160. ]
[14]	黄飞虎,彭舰,宁黎苗.基于信息熵的社交网络观点演化模型[J].物理学报,2014,63(16):160501(1-9). doi: 10.7498/aps.63.160501
	[ Huang F H, Peng J, Ning L M. Opinion evolution model of social network based on information entropy[J]. Acta Phys. Sin., 2014,63(16):160501(1-9). ] doi: 10.7498/aps.63.160501
[15]	贾凡. 基于理性推理的观点演化模型[J].北京交通大学学报:自然科学版,2011,35(2):60-65. doi: 10.3969/j.issn.1673-0291.2011.02.011
	[ Jia F.Rational inference based opinion formation model[J]. Journal of Beijing Jiao Tong University, 2011,35(2):60-65. ] doi: 10.3969/j.issn.1673-0291.2011.02.011
[16]	Java Repast Simphony[ED/OL]. .
[17]	周成虎,孙战利,谢一春.地理元胞自动机研究[M].北京:科学出版社,1999.
	[ Zhou C H, Sun Z L, Xie Y C.Geographical Cellular Automata[M]. Beijing: Science Press, 1999. ]
[18]	Amoroso S, Patt Y N.Decision procedures for subjectivity and infectivity of parallel maps for tessellation structures[J]. Journal of Computer and System Sciences, 1972,6(5):448-464.
[19]	肖海林,邓敏艺,孔令江,等.元胞自动机舆论模型中人员移动对传播的影响[J].系统工程学报,2005,20(3):225-231. doi: 10.3969/j.issn.1000-5781.2005.03.001
	[ Xiao H L, Deng M Y, Kong L J, et al.Influence of people’s moving on the opinion communication in the cellular automation public opinion model[J]. Journal of System Engineering, 2005,20(3):225-231. ] doi: 10.3969/j.issn.1000-5781.2005.03.001
[20]	Sznajd-Weron K, Sznajd J.Opinion evolution in closed community[J]. International Journal of Modern Physics C, 2000,11(6):1157-1165. doi: 10.1142/S0129183100000936
[21]	He M, Xu H, Sun Q.Opinion evolution on a scale-free network with leaders[J]. International Journal of Modern Physics C, 2004,15(7):947-953. doi: 10.1142/S012918310400639X
[22]	Krapivsky P L, Redner S.Dynamics of majority rule in two-state interacting spin systems[J]. Physical Review Letters, 2003,90(23):238701. doi: 10.1103/PhysRevLett.90.238701 pmid: 12857298
[23]	Deffuant G, Neau D, Amblard F, et al.Mixing beliefs among interacting agents[J]. Advances in Complex Systems,2000,3(4):87-98. doi: 10.1142/S0219525900000078
[24]	Malarz K.Truth seekers in opinion dynamics models[J]. International Journal of Modern Physics C, 2006,17(10):1521-1524. doi: 10.1142/S0129183106009850
[25]	Stauffer D, Sousa A O, de Oliveira S M. Generalization to square lattice of Sznajd sociophysics model[J]. International Journal of Modern Physics C, 2000,11(6):1239-1245. doi: 10.1142/S012918310000105X
[26]	刘建明. 舆论传播[M].北京:清华大学出版社,2001.
	[ Liu J M.Mass Media[M]. Beijing: Tsinghua University Press, 2001. ]