Computer Science ›› 2020, Vol. 47 ›› Issue (8): 189-194.doi: 10.11896/jsjkx.200300001
Previous Articles Next Articles
ZHANG Meng-yue, HU Jun, YAN Guan, LI Hui-jia
CLC Number:
[1] YUAN J G, HOU Q S, CHENG C.Curse Effect of Enterprise Political Resources-Based on the Study of Political Relevance and Enterprises Technological Innovation [J].Management World, 2015(1):139-155. [2] CHENG K, LIU R H, LIU Y.Research on the Role of Venture Capital in China’s Technological Innovation [J].Inquiry Into Economic Issues, 2006(10):17-22. [3] HOU R X, GUAN J C.The Influence of Foreign Direct Investment on China’s Regional Innovation Ability [J].China Soft Science, 2006(5):104-111. [4] CHEN G H, LAN B J.Research on R&D Expenditure, Competition Degree and Regional Innovation Ability of China-An Empirical Analysis Based of Domestic Patent Applications and R&D Data from 1998 to 2004 [J].Economists, 2007(3):101-106. [5] ZHANG Q H, LUO J W.Analysis on the Effect of Shanghai Patent Subsidy Policy on the Number of Patent Applications [J].Studies in Science of Science, 2009, 27(5):682-685. [6] YUE H L.Patent laws and innovation in China[J].International Review of Law & Economics, 2009, 29(4):304-313. [7] WU J, HU D, WANG Q.Role of education for spillover effects of FDI on innovation in China:Evidence from the 1998-2008 provincial panel data[C]∥2010 IEEE 17Th International Conference on Industrial Engineering and Engineering Management.IEEE, 2010:454-457. [8] ZHOU R F, YU J L.GARCH Model and Its Prediction of Time Series of Domestic Patent Application Acceptance [J].Journal of Zhongyuan University of Technology, 2008(3):31-35. [9] CHEN Z Y, YANG D Z, MA W, et al.Prediction of Patent Application Quantity Based on the Combination Model of Wavelet Packet Analysis [J].Public Communication of Science & Technology, 2011(17):226-227. [10]ZHANG J, SUN J F, LUO X D, et al.Characterizing pseudoperio-dic time series through the complex network approach[J].Physi-ca D:Nonlinear Phenomena, 2008, 237(22):2856-2865. [11]XU X K, ZHANG J, SMALL M.Superfamily phenomena and motifs of networks induced from time series[C]∥Proceedings of the National Academy of Sciences.2008:19601-19605. [12]MARWAN N, DONGES J F, ZOU Y, et al.Complex network approach for recurrence analysis of time series[J].Phys.Lett. A.2009, 373(46):4246-4254. [13]DONNER R V, ZOU Y, DONGES J F, et al.Recurrence networks:A novel paradigm for nonlinear time series analysis[J].arXiv:0908.3447. [14]LACASA L, LUQUE B, BALLESTEROS F, et al.From timeseries to complex networks:The visibility graph[C]∥Proc.Natl.Acad.Sci.USA.2008:4972-4975. [15]LI X, YANG D, LIU X, et al.Bridging time series dynamics andcomplex network theory with application to electrocardiogram analysis[J].IEEE Circuits Syst.Mag., 2012, 12(4):33-46. [16]JIANG S.Signal Analysis of Heart Rate Variation Based on Visi-bility Network Method [D].Nanjing:Nanjing University, 2014. [17]GAO Z K, CAI Q, YANG Y X, et al.Multiscale limited penetrable horizontal visibility graph for analyzing nonlinear time series[J].Sci.Rep.doi:10.1038/srep35622. [18]WATTS D, STROGATZ S.Collective dynamics of ‘small-world’ networks[J].Nature, 1998, 393:440-442. [19]LACASA L, LUQUE B, BALLESTEROS F, et al.From timeseries to complex networks:The visibility graph[C]∥Procee-dings of the National Academy of Sciences of the United States of America.2008:4972-4975. [20]XIE B C, ZHU J P, WANG X Y.The Application of Excel in big Data Mining[M].Xiamen University Press, 2016:104. |
[1] | ZHENG Wen-ping, LIU Mei-lin, YANG Gui. Community Detection Algorithm Based on Node Stability and Neighbor Similarity [J]. Computer Science, 2022, 49(9): 83-91. |
[2] | YANG Bo, LI Yuan-biao. Complex Network Analysis on Curriculum System of Data Science and Big Data Technology [J]. Computer Science, 2022, 49(6A): 680-685. |
[3] | HE Xi, HE Ke-tai, WANG Jin-shan, LIN Shen-wen, YANG Jing-lin, FENG Yu-chao. Analysis of Bitcoin Entity Transaction Patterns [J]. Computer Science, 2022, 49(6A): 502-507. |
[4] | WANG Ben-yu, GU Yi-jun, PENG Shu-fan, ZHENG Di-wen. Community Detection Algorithm Based on Dynamic Distance and Stochastic Competitive Learning [J]. Computer Science, 2022, 49(5): 170-178. |
[5] | CHEN Shi-cong, YUAN De-yu, HUANG Shu-hua, YANG Ming. Node Label Classification Algorithm Based on Structural Depth Network Embedding Model [J]. Computer Science, 2022, 49(3): 105-112. |
[6] | ZHAO Xue-lei, JI Xin-sheng, LIU Shu-xin, LI Ying-le, LI Hai-tao. Link Prediction Method for Directed Networks Based on Path Connection Strength [J]. Computer Science, 2022, 49(2): 216-222. |
[7] | LI Jia-wen, GUO Bing-hui, YANG Xiao-bo, ZHENG Zhi-ming. Disease Genes Recognition Based on Information Propagation [J]. Computer Science, 2022, 49(1): 264-270. |
[8] | MU Jun-fang, ZHENG Wen-ping, WANG Jie, LIANG Ji-ye. Robustness Analysis of Complex Network Based on Rewiring Mechanism [J]. Computer Science, 2021, 48(7): 130-136. |
[9] | LIU Ji-hua, ZHANG Meng-di, PENG Hong-xia, JIA Xing-ping. Automobile Sales Forecasting Model Based on Convolutional Neural Network [J]. Computer Science, 2021, 48(6A): 178-183. |
[10] | HU Jun, WANG Yu-tong, HE Xin-wei, WU Hui-dong, LI Hui-jia. Analysis and Application of Global Aviation Network Structure Based on Complex Network [J]. Computer Science, 2021, 48(6A): 321-325. |
[11] | WANG Xue-guang, ZHANG Ai-xin, DOU Bing-lin. Non-linear Load Capacity Model of Complex Networks [J]. Computer Science, 2021, 48(6): 282-287. |
[12] | MA Yuan-yuan, HAN Hua, QU Qian-qian. Importance Evaluation Algorithm Based on Node Intimate Degree [J]. Computer Science, 2021, 48(5): 140-146. |
[13] | YIN Zi-qiao, GUO Bing-hui, MA Shuang-ge, MI Zhi-long, SUN Yi-fan, ZHENG Zhi-ming. Autonomous Structural Adjustment of Crowd Intelligence Network: Begin from Structure of Biological Regulatory Network [J]. Computer Science, 2021, 48(5): 184-189. |
[14] | LIU Sheng-jiu, LI Tian-rui, XIE Peng, LIU Jia. Measure for Multi-fractals of Weighted Graphs [J]. Computer Science, 2021, 48(3): 136-143. |
[15] | GONG Zhui-fei, WEI Chuan-jia. Link Prediction of Complex Network Based on Improved AdaBoost Algorithm [J]. Computer Science, 2021, 48(3): 158-162. |
|