Technology Evolution Network Model and Simulation Based on Patent Citation Network

doi:10.16182/j.issn1004731x.joss.19-0556

Abstract

Abstract: On the basis of on the patent citation network and complex networks, a technology evolution network model is constrcucted, which revealed the topology structure, evolution rules and dynamics of the technology evolution network. By introducing time and fitness preferential attachments mechanism, the effect of time factor and selection law of “survival of the fittest” on evolution of network structure during the technology evolution is studied. The results showed that the technology evolution network had the characteristic of scale-free, which is the result of global selection of “survival of the fittest” in the process of technology accumulation; The effect of time factor is partial and reflects strong latecomer advantage in technological innovation and change, which partly decreased the overall influence on fitness preferential.

Key words: technology evolution network, complex network, power-law distribution, patent citation network

CLC Number:

You Ge, Guo Hao, Liu Xiang. Technology Evolution Network Model and Simulation Based on Patent Citation Network[J]. Journal of System Simulation, 2021, 33(3): 591-603.

References

[1] 秦书生, 陈凡. 技术系统自组织演化分析[J]. 科学学与科学技术管理, 2003, 24(1): 34-37.
Qin Shusheng, Chen Fan.Analysis on Evolvement of Technical System Self-organization[J]. Science of Science and Management of S.&.T., 2003, 24(1): 34-37.
[2] 约翰•齐曼. 技术创新进化论[M]. 孙喜杰, 曾国平, 译. 上海: 上海科技教育出版社, 2002.
John Ziman.Technological Innovation as an Evolutionary Process[M]. Sun Xijie, Zeng Guoping, Translated. Shanghai: Shanghai Science and Technology Education Press, 2002.
[3] Yoon J, Choi S, Kim K.Invention Property-function Network Analysis of Patents: A Case of Silicon-based Thin Film Solar Cells[J]. Scientometrics (S1588-2861), 2011, 86(3): 687-703.
[4] 李姝影, 张鑫, 许轶, 等. 核心专利集筛选及专利技术主题识别影响[J]. 情报学报, 2019, 38(1): 13-20.
Li Shuying, Zhang Xin, Xu Yi, et al.Patent Screening of Core Documents and Impact of Patent Technology Subject Identification[J]. Journal of the China Society for Scientific and Technical Information, 2019, 38(1): 13-20.
[5] Dangelico R M, Garavelli A C, Petruzzelli A M.A System Dynamics Model to Analyze Technology Districts’ Evolution in a Knowledge-based Perspective[J]. Technovation (S0166-4972), 2010, 30(1): 142-153.
[6] Chen S H, Huang M H, Chen D Z, et al.Detecting the Temporal Gaps of Technology Fronts: A Case Study of Smart Grid Field[J]. Technological Forecasting & Social Change (S0040-1625), 2012, 79(9): 1705-1719.
[7] David B T, Fernando J S, Itziar C M.Mapping the Importance of the Real World: The Validity of Connectivity Analysis of Patent Citations Networks[J]. Research Policy (S0048-7333), 2011, 40(3): 473-486.
[8] 万小萍, 刘向, 闫肖婷, 等. 基于关联分析的技术演进路径发现[J]. 情报学报, 2018, 37(11): 15-22.
Wan Xiaoping, Liu Xiang, Yan Xiaoting, et al.Technological Path Detection Approach Based on Association Analysis[J]. Journal of the China Society for Scientific and Technical Information, 2018, 37(11): 15-22.
[9] 张娴, 方曙, 王春华. 专利引证视角下的技术演化研究综述[J]. 科学学与科学技术管理, 2016, 37(3): 58-67.
Zhang Xian, Fang Shu, Wang Chunhua.Review on Technology Evolution Research from Patent Citation Perspective[J]. Science of Science and Management of S. & T., 2016, 37(3): 58-67.
[10] 刘向, 万小萍, 马费成. 基于专利信息的科技创新趋势探测: 理论与方法[J]. 情报科学, 2015, 33(12): 20-26.
Liu Xiang, Wan Xiaoping, Ma Feicheng.Detecting of Technology Innovation Trends Based on Patent Data: Theory and Methods[J]. Information Science, 2015, 33(12): 20-26.
[11] Leskovec J, Kleinberg J, Faloutsos C.Graph evolution: Densification and Shrinking Diameters[J]. Acm Transactions on Knowledge Discovery from Data (S2661-8001), 2007, 1(1): 2-12.
[12] 向希尧, 蔡虹. 组织间跨国知识流动网络结构分析--基于专利的实证研究[J]. 科学学研究, 2011, 29(1): 97-105.
Xiang Xiyao, Cai Hong.Analysis of the Structure of Network Analysis of Patents: A Case of Silicon-based thin Film Solar Cells[J]. Studies in Science of Science, 2011, 86(3): 687-703.
[13] 杨冠灿. 基于多重关系整合的专利网络结构研究[D].武汉: 武汉大学, 2013.
Yang Guancan.Research on Patent Network Structure based on Multi-relationship Integration[D]. Wuhan: Wuhan University, 2013.
[14] 唐川, 张娴, 房俊民, 等. 基于专利引文的领域间知识网络结构研究[J]. 情报科学, 2014, 32(1): 74-79.
Tang Chuan, Zhang Xian, Fang Junmin, et al.Study of the Structure of Knowledge Network Based on Patent Citations[J]. Information Science, 2014, 32(1): 74-79.
[15] 孙冰, 徐晓菲, 苏晓. 技术扩散主路径及核心企业的识别研究--以手机芯片专利引文网络为例[J]. 情报学报, 2019, 38(2): 201-208.
Sun Bing, Xu Xiaofei, Su Xiao.Identification of the Main Path of Technology Diffusion and the Identification of Core Enterprises-- A Case Study of Patent Citation Network in Mobile Phone Chips[J]. Journal of the China Society for Scientific and Technical Information, 2019, 38(2): 201-208.
[16] Garfield E.Citation indexes for Science[J]. Science (S0036-8075), 1956, 123(3185): 61-62.
[17] Price D J.Networks of Scientific Papers[J]. Science (S0036-8075), 1965, 149(3683): 510-515.
[18] Watts D J, Strogatz S H.Collective Dynamics of ‘Small-world’ Networks[J]. Nature (S1476-4687), 1998, 393(6684): 440-452.
[19] Barabási A L, Albert R.Emergence of Scaling in Random Networks[J]. Science (S0036-8075), 1999, 286(5439): 509-512.
[20] Newman M E J. The Structure and Function of Complex Networks[J]. SIAM Review (S1095-7200), 2003, 45(2): 167-256.
[21] Liu X, Jiang T, Ma F.Collective Dynamics in Knowledge Networks: Emerging Trends Analysis[J]. Journal of Informetrics (S1751-1577), 2013, 7(2): 425-438.
[22] 刘向, 马费成, 王晓光. 知识网络的结构及过程模型[J]. 系统工程理论与实践, 2013, 33(7): 1836-1844.
Liu Xiang, Ma Feicheng, Wang Xiaoguang.Formation and Process Model of Knowledge Networks[J]. System Engineering Theory and Practice, 2013, 33(7): 1836-1844.
[23] 马费成, 刘向. 科学知识网络的演化模型[J]. 系统工程理论与实践, 2013, 33(2): 437-443.
Ma Feicheng, Liu Xiang.Evolvement Model for Scientific Knowledge Networks[J]. System Engineering Theory and Practice, 2013, 33(2): 437-443.
[24] Redner S.How Popular is Your Paper? An empirical Study of the Citation Distribution[J]. The European Physical Journal B-Condensed Matter and Complex Systems (S1434-6028), 1998, 4(2): 131-134.
[25] 赵宇哲, 彭燕妮, 匡海波. 生态学视角下的集装箱海运网络适应度BA模型[J]. 运筹与管理, 2014, 23(6): 266-273.
Zhao Yuzhe, Peng Yanni, Kuang Haibo.Fitness BA Model of Container Shipping Network under the Ecological Vision[J]. Operations Research and Management Science, 2014, 23(6): 266-273.