Abstract：In order to explore the dynamic evolution of innovator collaborative innovation network, networks are constructed based on the data of joint invention patent in electronic information industry. The paper reveals the characteristics of networks evolution, and constructs random actor models to identify the influencing factors of networks evolution. The results show that the relationship between innovators and innovation in electronic information industry increases in the early stage and becomes stable in the later stage. The network scale tends to be stable and the connections between nodes become closer. Network evolution is influenced by network structure characteristics, innovator characteristics and proximity mechanism. Among them, cooperation breadth and geographical proximity have the greatest impact.
李长升, 索琪, 王梓豪. 基于SAOM模型的主体协同创新网络演化机理[J]. 复杂系统与复杂性科学, 2024, 21(3): 62-68.
LI Changsheng, SUO Qi, WANG Zihao. Dynamic Evolution Mechanism of Innovator Collaborative Innovation Network Based on Stochastic Actor-oriented Model[J]. Complex Systems and Complexity Science, 2024, 21(3): 62-68.
[1] 涂振洲, 顾新.基于知识流动的产学研协同创新过程研究[J]. 科学学研究, 2013, 31(9): 1381-1390. TU Z Z, GU X. Study on process of industry-university-research institute collaborative innovation based on knowledge flow[J]. Studies in Science of Science, 2013, 31(9): 1381-1390. [2] 高霞, 陈凯华. 基于SIPO专利的产学研合作模式及其合作网络结构演化研究: 以ICT产业为例[J]. 科学学与科学技术管理, 2016, 37(11): 34-43. GAO X, CHEN K H. Analysis on the evolution of patterns and network structure for industry-university research institute cooperation in the Chinese ICT industry based on SIPO patents[J]. Science of science and management of S & T, 2016, 37(11): 34-43. [3] ZHANG Y, CHEN K H, ZHU G R, et al. Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese academy of Sciences[J]. Scientometrics, 2016, 108(3): 1383-1415. [4] 孙天阳, 成丽红.中国协同创新网络的结构特征及格局演化研究[J]. 科学学研究, 2019, 37(8): 1498-1505. SUN T Y, CHENG L H. Research on the structure characteristics and evolutionary pattern collaborative innovation network in China[J]. Studies in Science of Science, 2019, 37(8): 1498-1505. [5] GAO X, GUO X, GUAN J C. An analysis of the patenting activities and collaboration among industry-university-research institutes in the Chinese ICT sector[J]. Scientometrics, 2014, 98(1): 247-263. [6] 戚筠, 唐恒, 石俊国. 基于小世界网络特性的核心技术识别研究——以石墨烯为例[J].情报杂志, 2020, 39(2): 50-55. QI Y, TANG H, SHI J G. Research on core technology identification based on small world network characteristics: a case study of graphene[J]. Journal of intelligence, 2020, 39(2): 50-55. [7] ZHAO J Y, WU G D. Evolution of the Chinese industry-university-research collaborative innovation system[J]. Complexity, 2017(1): 1-13. [8] 郭建杰, 谢富纪, 王海花, 等. 产学协同中自我中心网络动态性、区域间合作网络对企业创新的影响研究[J]. 管理学报, 2019, 16(7): 1026-1034. GUO J J, XIE F J, WANG H H, et al. Research of the effect of ego-network dynamics, inter-regional collaboration network on innovation of enterprises in industry-university collaboration[J]. Chinese Journal of Management, 2019, 16(7): 1026-1034. [9] 周灿, 曾刚, 辛晓睿, 等. 中国电子信息产业创新网络演化——基于SAO模型的实证[J].经济地理, 2018, 38(4): 116-122. ZHOU C, ZENG G, XIN X R, et al. The dynamics of China’s electronic information industry innovation networks: an empirical research based on SAO model[J]. Economic geography, 2018, 38(4): 116-122. [10] 阮平南, 王文丽, 刘晓燕. 基于多维邻近性的技术创新网络演化动力研究——以OLED产业为例[J]. 研究与发展管理, 2018, 30(6): 59-66. RUAN P N, WANG W L, LIU X Y. Dynamic evolution of technological innovation network based on multi-dimensional proximity-based on OLED industry[J]. R&D Management, 2018, 30(6): 59-66. [11] 曹霞,李传云,林超然.基于新能源汽车的专利合作网络演化研究[J].科研管理, 2019, 40(8): 179-188. CAO X, LI C Y, LIN C R. A research on the evolution of patent cooperation networks based on new energy vehicles[J]. Science Research Management, 2019, 40(8): 179-188. [12] 彭英, 姚恒璐, 吴菲. 组织个体创新与合作网络演化机理研究——基于通信业专利数据分析[J]. 科技进步与对策, 2015, 32(6): 24-28. PENG Y, YAO H L, WU F. Research on the evolution mechanism of organizational individual innovation and cooperative networks: based on patent data analysis in the communication industry[J]. Science & Technology Progress and Policy, 2015, 32(6): 24-28. [13] MCPHERSON M, SMITH-LOVIN L, COOK J M. Birds of a feather: homophily in social networks[J]. Annual Review of a Sociology, 2003, 27(1): 415-444. [14] PENG T Q. Assortative mixing, preferential attachment, and triadic closure: a longitudinal study of tie-generative mechanisms in journal citation networks[J]. Journal of Informetrics, 2015, 9(2): 250-262. [15] KOSSINETS G, WATTS D J. Empirical analysis of an evolving social network[J]. Science, 2006, 311(5757): 88-90. [16] ZAHEER A, BELL G G. Benefiting from network position: firm capabilities, structural holes, and performance[J]. Strategic Management Journal, 2005, 26(9): 809-825. [17] 段庆锋, 冯珍.多维视角下技术距离对企业研发合作关系影响的实证研究[J].科技进步与对策, 2020, 37(14): 110-117. DUAN Q F, FENG Z. Empirical research on impact of technology distance upon R&D collaboration among enterprises from multi-views[J]. Science & Technology Progress and Policy, 2020, 37(14): 110-117. [18] 高霞, 其格其, 曹洁琼. 产学研合作创新网络开放度对企业创新绩效的影响[J].科研管理, 2019, 40(9): 231-240. GAO X, QI G Q, CAO J Q. Influence of openness on the innovation performance in the industry-university-research cooperation innovation networks[J]. Science Research Management, 2019, 40(9): 231-240. [19] BARABÁSI A L, RAVASZ E,VICSEK T. Deterministic scale-free networks[J]. Physica A: Statistical Mechanics and Its Applications, 2001, 299(3/4): 559-564. [20] BUCHMANN T, PYKA A. The evolution of innovation networks: the case of the german automotive industry[J]. Fzid Discussion Papers, 2015, 24(1/2): 114-139. [21] GIULIAN E. Network dynamics in regional clusters: evidence from Chile[J]. Research Policy, 2013, 42(8): 1406-1419. [22] 武玉英, 才久然, 何喜军. 基于多层关系网络的专利技术主体间交易机会预测——以电子信息技术领域为例[J]. 情报杂志, 2020, 39(7): 49-53,100. WU Y Y, CAI J R, HE X J. Prediction of transaction opportunities between subjects based on multi-layer relational network——take the field of the electronic information technology as an example[J]. Journal of Intelligence, 2020, 39(7): 49-53,100. [23] BALLAND P-A, BELSO-MARTÍNEZ J A, MORRISON A. The dynamics of technical and business knowledge networks in industrial clusters: embeddedness, status, or proximity?[J]. Economic Geography, 2016, 92(1): 35-60. [24] 覃柳婷, 滕堂伟, 张翌, 等.中国高校知识合作网络演化特征与影响因素研究[J].科技进步与对策, 2020, 37(22): 125-133. QIN L T, TENG T W, ZHANG Y, et al. Evolution’s characteristics and influence factors of china’s universities knowledge collaboration network[J]. Science &Technology Progress and Policy, 2020, 37(22): 125-133. [25] SNIJDERS T A B. Introduction to stochastic actor-based models for network dynamics[J]. Social Networks, 2010, 32(1): 44-60. [26] BATHELT H,LI P F. Global cluster networks—foreign direct investment flows from Canada to China[J]. Journal of Economic Geography, 2014, 14(1): 45-71.
