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Modeling the Coevolution of Innovation Diffusion and Network Structure with Consideration of the Asymmetry of Influence:a Simulation Study based on Information Entropy and Cumulative Advantage |
Xie Li1,Zhao Peixin1,Ding Haixin2 |
(1.School of Management,Shandong University,Jinan 250100,China;2.School of Tourism Management,Zhengzhou University,Zhengzhou 450001,China) |
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Abstract Innovation diffusion happens in social system; diffusion and social system always interact with each other.Network is an important way to depict this social factor; however,static or exogenously dynamic undirected innovation diffusion networks in literatures always either neglect or cannot reflect the coevolution of diffusion and social system embodied by network,and fail to capture the asymmetry of influence.Based on directed network,this study puts forward a conceptual frameworks to capture the coevolution of diffusion and network; following the perspectives of information searching and cognitive dissonance reduction,and based on information entropy and cumulative advantage,this study constructs mathematical models for network evolution and innovation adoption at the individual level.Based on the Repast Simphony 2.7 development platform,this study chooses a Java-based Agent-based Modeling approach to conduct comprehensive simulation experiments.Experiment data-based descriptive results reveal: innovation diffusions under dynamic and static network are significantly different,the evolution of network structure could increase the inequity of node out-degree,a better innovation result always comes with a more unequal node out-degree distribution; and other factors,including mass communication and personal communication,would also affect the coevolution of diffusion and network; and interactions exist among control variables.Referential results confirm the influences of control variables and the prevalence of interactions.
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Received: 16 September 2020
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[1] ROGERS E M.Diffusion of innovations (5th edition)[M].New York: The Free Press,2003. [2] 蔡霞,宋哲,耿修林,等.社会网络环境下的创新扩散研究述评与展望[J].科学学与科学技术管理,2017,38(4):73-84. [3] BASS F M.A new product growth model for consumer durables[J].Management Science,1969,15(5):215-227. [4] KIESLING E,GüNTHER M,STUMMER C,et al.Agent-based simulation of innovation diffusion: a review[J].Central European Journal of Operations Research,2012,20(2):183-230. [5] MULLER E,PERES R.The effect of social networks structure on innovation performance: a review and directions for research[J].International Journal of Research in Marketing,2019,36(1):3-19. [6] 苗东升.系统科学精要(第4版)[M].北京: 中国人民大学出版社,2016. [7] CHANDRASEKARAN D,TELLIS G J.A critical review of marketing research on diffusion of new products[C]// MALHOTRA N.Review of marketing research (Vol.3)[M].Bingley: Emerald Group Publishing Limited,2007: 39-80. [8] LEEFLANG P S H,WIERINGA J E,BIJMOLT T H A,et al.Diffusion and adoption models[C]// LEEFLANG P,WIERINGA J,BIJMOLT T,et al.Advanced methods for modeling markets[M].Cham: Springer,2017: 299-331. [9] PERES R,MULLER E,MAHAJAN V.Innovation diffusion and new product growth models: a critical review and research directions[J].International Journal of Research in Marketing,2010,27(2):91-106.[10] NEGAHBAN A,SMITH J S.A joint analysis of production and seeding strategies for new products: an agent-based simulation approach[J].Annals of Operations Research,2018,268(1-2):41-62.[11] NEJAD M G,AMINI M,BABAKUS E.Success factors in product seeding: the role of homophily[J].Journal of Retailing,2015,91(1):68-88.[12] NEWMAN M E J.网络科学引论[M].北京: 电子工业出版社,2014.[13] VALENTE T W.Social network thresholds in the diffusion of innovations[J].Social Networks,1996,18(1):69-89.[14] 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.[15] WASSERMAN S,FAUST K.Social network analysis: methods and applications[M].New York: Cambridge University Press,1994.[16] BONABEAU E.Agent-based modeling: methods and techniques for simulating human systems[J].Proceedings of the National Academy of Sciences,2002,99(suppl 3):7280-7287.[17] 盛昭瀚.计算实验:社会科学研究的新方法[N].光明日报,2012-04-11.[18] RAND W,RUST R T.Agent-based modeling in marketing: guidelines for rigor[J].International Journal of Research in Marketing,2011,28(3):181-193.[19] 赵良杰,姜晨,鲁皓.复杂社会网络结构、局部网络效应与创新扩散研究[J].软科学,2011,25(8):6-9.[20] 蔡霞,宋哲,耿修林.稠密人际网络中的竞争创新扩散机制研究——以双寡头同时竞争扩散市场为例[J].科学学与科学技术管理,2019,40(11):125-137.[21] PHAN T Q,GODES D.The evolution of influence through endogenous link formation[J].Marketing Science,2018,37(2):259-278.[22] 肖宇,韩景倜.异质阈值决策规则下的复杂网络扩散[J].复杂系统与复杂性科学,2016,13(3):47-57.[23] GOLDENBERG J,LIBAI B,MOLDOVAN S,et al.The NPV of bad news[J].International Journal of Research in Marketing,2007,24(3):186-200.[24] 丁海欣.考虑负面口碑的创新扩散模型[J].现代管理科学,2013,32(8):74-76.[25] CHOI H,KIM S,LEE J.Role of network structure and network effects in diffusion of innovations[J].Industrial Marketing Management,2010,39(1):170-177.[26] 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.[27] 任立肖,张亮,杜子平,等.复杂网络上的网络舆情演化模型研究述评[J].情报科学,2014,32(8):148-156.[28] 浦娇华,朱恒民,刘凯.基于动态网络的微博舆论观点演化模型研究[J].情报杂志,2014(8):168-172.[29] JIN C,LI Y,JIN X.Political opinion formation: initial opinion distribution and individual heterogeneity of tolerance[J].Physicaa: Statistical Mechanics and Its Applications,2017,467:257-266.[30] FOLLETT M P.Creative experience[M].Mansfield Centre,CT: Martino Publishing,2013.[31] DELRE S A,JAGER W,BIJMOLT T H A,et al.Will it spread or not? the effects of social influences and network topology on innovation diffusion[J].Journal of Product Innovation Management,2010,27(2):267-282.[32] STERMAN J D.Business dynamics: systems thinking and modeling for a complex world[M].Irwin/McGraw-Hill,2000.[33] GONCALVES B,PERRA N,VESPIGNANI A.Modeling users' activity on Twitter networks: validation of Dunbar's number[J].Plos One,2011,6(8):e22656.[34] MURPHY P E,ENIS B M.Classifying products strategically[J].Journal of Marketing,1986,50(3):24-42.[35] NEJAD M G.Optimal pricing for the growth of innovations with direct network externalities: an agent‐based approach[J].Journal of Product & Brand Management,2013,22(2):180-190.[36] VARGO S L,LUSCH R F.Institutions and axioms: an extension and update of service-dominant logic[J].Journal of the Academy of Marketing Science,2016,44(1):5-23.[37] CENTOLA D,MACY M.Complex contagions and the weakness of long ties[J].American Journal of Sociology,2007,113(3):702-734.[38] WELLMANN J F,REGENAUER-LIEB K.Uncertainties have a meaning: information entropy as a quality measure for 3-D geological models[J].Tectonophysics,2012,526-529:207-216.[39] 丁海欣,谢丽,马中奎.“名副其实”策略价值是否名副其实——创新质量传播策略研究[J].情报工程,2018,4(3):85-95.[40] 段文奇,陈忠.网络效应新产品成功的关键:产品质量还是安装基础[J].系统工程理论与实践,2007,27(7):144-148.[41] HE M,LEE J.Social culture and innovation diffusion: a theoretically founded agent-based model[J].Journal of Evolutionary Economics,2020.[42] 圭多·卡尔达雷利,米凯莱·卡坦扎罗.网络[M].南京: 译林出版社,2018. |
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