Research on Dynamic Mechanisms of Innovation Diffusion and Its Simulation Based on the Social Network Structure

doi:10.12005/orms.2018.0121

Operations Research and Management Science ›› 2018, Vol. 27 ›› Issue (5): 149-156.DOI: 10.12005/orms.2018.0121

• Application Research • Previous Articles Next Articles

Research on Dynamic Mechanisms of Innovation Diffusion and Its Simulation Based on the Social Network Structure

CAO Xia¹, ZHANG Lu-peng², LIU Guo-wei³

1.School of Economics and Management, Harbin Engineering University,Harbin 150001, China;
2.School of Public Policy & Management Tsinghua University, Beijing 100084, China;
3.Guilin Academy of Aerospace Industry, Guilin 541004, China

Received:2015-03-12 Online:2018-05-25

基于社会网络结构的创新扩散动力机制及其仿真研究

曹霞¹, 张路蓬², 刘国巍³

1.哈尔滨工程大学经济管理学院,黑龙江哈尔滨 150001;
2.清华大学公共管理学院,北京 100084;
3.桂林航天工业学院管理学院,广西桂林 541004

作者简介:曹霞(1975-),女,黑龙江哈尔滨人,教授,博士生导师,博士,研究方向为技术管理;张路蓬(1988-),女,黑龙江哈尔滨人,博士后,博士,研究方向为创新扩散与创新政策;刘国巍(1985-)男,黑龙江绥化人,副教授,博士,研究方向为创新网络与知识管理。
基金资助:
国家自然科学基金项目(71473055);中国博士后科学基金面上资助项目(2017M620814);中央高校基本科研业务经费支持(HEUCFZ1604);黑龙江省自然科学基金青年项目(JJ2016QN0645)

Abstract

Abstract: With a massive influx of social capital, the influence of social network structure on innovation diffusion is gradually increasing. Dynamic models of evolution of innovation diffusion based on different topological structures are created after analyzing the mechanisms of innovation diffusion. Using access of information, innovative concepts of leaders, opportunity interest as dynamic elements for innovation diffusion, making a simulation analysis of evolutionary game of complicated networks, we reveal a diffusion of innovative technologies under different topological structures such as scale-free network and small world network. The results of simulation demonstrate that if the network structure is the same, access of information has a greater influence on innovation diffusion; if the dynamic elements are the same, the better main bodies of network are aligned, the fuller are the innovation diffusion.

Key words: network structure, innovation diffusion, dynamic mechanism, evolutionary game, simulation

摘要： 随着社会资本的大量涌入,创新扩散逐渐受到社会网络关系的影响。在分析了创新扩散机理的基础上,构建了基于不同拓扑结构的创新扩散演化动力模型。将信息获取、领导者创新能力及机会利益作为创新扩散的动力因子。通过利用复杂网络的演化博弈仿真分析,揭示了小世界、无标度等不同网络拓扑结构下,创新技术的扩散情况。仿真结果表明:在网络结构相同的情况下,信息获取对创新扩散的影响较大;在动力因子设定相同的情况下,网络主体连接越规则,创新扩散越充分。

关键词: 网络结构, 创新扩散, 动力机制, 演化博弈, 仿真

CLC Number:

F224.33

CAO Xia, ZHANG Lu-peng, LIU Guo-wei. Research on Dynamic Mechanisms of Innovation Diffusion and Its Simulation Based on the Social Network Structure[J]. Operations Research and Management Science, 2018, 27(5): 149-156.

曹霞, 张路蓬, 刘国巍. 基于社会网络结构的创新扩散动力机制及其仿真研究[J]. 运筹与管理, 2018, 27(5): 149-156.

References

[1]Rogers E M. Diffusion of innovation[M]. New York: Free Press, 2003.
[2]陈锟.基于复杂系统仿真的创新扩散研究述评[J].外国经济与管理,2009,31(4):10-14.
[3]Bass F M. A new-product growth model for consumer durables[J]. Management Science, 1969, 15(5): 215-227.
[4]Niu S C. A piecewise diffusion model of new-product demands[J]. Operations Research, 2006, 54(4): 678-695.
[5]Kapur P K, Singh V B, Anand S, et al. An innovation diffusion model incorporating change in the adoption rate[J]. Management Dynamics, 2007, 16(1): 34-41.
[6]陈锟.消费者文化差异对创新扩散的影响机制研究[J].科研管理,2011,32(7):67-75.
[7]薛朝改,曹海旺.政府影响下某先进制造模式的竞争与扩散模型[J].系统管理学报,2011,20(3):370-375.
[8]Kocsis Gergely Kun, et al. Competition of information channels in the spreading of innovation[J]. Physical Review E, 2011, 84(2): 026111.
[9]张庆普,李沃源.创意产业集群创意扩散过程及扩散模式研究[J].研究与发展管理,2014,26(1):22-33.
[10]Ma Fang, Chao Gangling. Modeling and simulation on the new technology diffusion of cars using cellular automata[C]. China: Advanced Materials Research, 2011, 291: 3171-3174.
[11]Zhang June, Moura Jose M F. Diffusion in social networks as SIS epidemics: beyond full mixing and complete graphs[J]. Journal of Selected Topics in Signal Processing, 2014, 8(4): 537-551.
[12]高长元,王京.网络视角下软件产业虚拟集群创新扩散模型研究[J].管理科学,2014,27(4):123-132.
[13]黄玮强,姚爽,庄新田.基于复杂社会网络的创新扩散多智能体仿真研究[J].科学学研究,2013,31(2):310-320.
[14]赵良杰,赵正龙,陈忠.社会网络与创新扩散的共生演化[J].系统管理学报,2012,21(1):62-69.
[15]张晓军,李仕明,何铮.社会关系网络密度对创新扩散的影响[J].系统工程,2009,27(1):92-97.
[16]杨国忠,许超,刘聪敏,等.有限理性条件下技术创新扩散的演化博弈分析[J].工业技术经济,2012,4:113-118.
[17]许慧敏,王琳琳.技术创新扩散系统的动力机制研究[J].科学学研究,2006,S24:291-294.
[18]Contractor Noshir S, DeChurch, Leslie A. Integrating social networks and human social motives to achieve social influence at scale[J]. Proceedings of the National Academy of Sciences of the United States of America, 2014, 111(4): 13650-13657.
[19]Masucci A P, Kalampokis A, Eguiluzv M, et al. Wikipedia information flow analysis reveals the scale-free architecture of the semantic space[J]. PLoS ONE, 2011, 6(2):e17333.
[20]范如国.复杂网络结构范型下的社会治理协同创新[J].中国社会科学,2014,4:98-120.
[21]Newman M E J. Scientific collaboration networks I[J]. Physics Review E, 2001, 64(1):016131.
[22]刘亮,韩传峰,缪莉莉.基于子图结构对等的科学家合作网络角色辨识[J].科学学研究,2013,31(8):1128-1135.
[23]Jinho Choi, Ahn Sang Hyun. The effects of network characteristics on performance of innovation clusters[J]. Expert Systems with Applications, 2013, 40(11): 4511-4518.
[24]王建,胡珑瑛,马涛.联盟网络中企业创新平衡模式选择的影响研究—基于网络结构的视角[J].科学学研究,2014,32(2):305-313.
[25]汪小帆,李翔,陈关荣.网络科学导论[M].北京:高等教育出版社,2012.
[26]王灏.光电子产业区域创新网络构建与演化机理研究[J].科研管理,2013,34(1):37-45.
[27]钱成,曹进德,杨夏竹.基于社会影响模型的观点演化规律研究[J].系统工程学报,2010,25(6):755-772.
[28]金伯富.机会利益:一个新的理论视角[J].中国社会科学,2002(2):66-73.
[29]于烨.预约违约责任之赔偿损失问题[J].法学研究,2013,9(4): 68-69.

Research on Dynamic Mechanisms of Innovation Diffusion and Its Simulation Based on the Social Network Structure

基于社会网络结构的创新扩散动力机制及其仿真研究

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