基于动态网络的增强现实技术创新网络演化分析
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摘要
[目的/意义]技术创新的频繁发生和网络的复杂多变,决定了多角度分析技术创新网络演化的重要性,基于多维度创新网络的演化分析有助于研究人员更加深刻地洞察技术创新网络的演化过程。[方法/过程]将动态网络分析方法和专利信息相结合,构建技术创新网络演化测度模型,对不同阶段的增强现实技术创新合作网络、知识网络、主体分布网络的整体结构和关键节点进行多视角测度,观察网络规模、网络关联程度、网络集中度、主体合作能力、研发实力、布局范围、技术热点和重要区域的动态演化过程。[结果/结论]分析结果验证了技术创新网络演化测度模型的有效性,揭示了网络动态演化的规律和路径。
[Purpose/Significance]The frequent occurrence of technological innovation and the complexity of the network decide the importance of the multi-angle analysis of technological innovation network evolution.The evolution analysis based on multi-dimensional innovation networks can help researchers to gain deeper insights into the evolution of technological innovation networks.[Method/Process]In this paper,we first combine the dynamic network analysis with the patent information and construct the technological innovation network evolution measurement model.Then,we measure the overall structure and key nodes of AR technology innovation Agent × Agent network,Agent × Knowledge network,and Agent × Location network at different stages from different perspectives.Finally,the dynamic evolution process of network size,network connection degree,network concentration,cooperation capability,R&D strength,patent layout scope,technology hot-spots and important area is observed.[Result/Conclusion]The above analyses verify the effectiveness of the evolution measurement model of the technological innovation network and reveal the laws and paths of network dynamic evolution.
[Purpose/Significance]The frequent occurrence of technological innovation and the complexity of the network decide the importance of the multi-angle analysis of technological innovation network evolution.The evolution analysis based on multi-dimensional innovation networks can help researchers to gain deeper insights into the evolution of technological innovation networks.[Method/Process]In this paper,we first combine the dynamic network analysis with the patent information and construct the technological innovation network evolution measurement model.Then,we measure the overall structure and key nodes of AR technology innovation Agent × Agent network,Agent × Knowledge network,and Agent × Location network at different stages from different perspectives.Finally,the dynamic evolution process of network size,network connection degree,network concentration,cooperation capability,R&D strength,patent layout scope,technology hot-spots and important area is observed.[Result/Conclusion]The above analyses verify the effectiveness of the evolution measurement model of the technological innovation network and reveal the laws and paths of network dynamic evolution.
引文
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[10]刘彤,郭鲁钢,杨冠灿.基于动态网络分析的专利合作网络演化分析--以纳米技术为例[J].情报杂志,2014,33(11):88-93.
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[2]Thomas B H.A survey of visual,mixed,and augmented reality gaming[J].Computers in Entertainment,2012,10(1):1-33.
[3]Jeong B,Yoon J.Competitive intelligence analysis of augmented reality technology using patent information[J].Sustainability,2017,9(4):1-22.
[4]张雪,连立杰,池芳.增强现实技术专利态势分析[J].中国发明与专利,2016(2):51-56.
[5]Oh G,Kim H Y,Park A.Analysis of technological innovation based on citation information[J].Quality&Quantity,2017,51:1-27.
[6]Hsu C W,Chang P L,Hsiung C M,et al.Charting the evolution of biohydrogen production technology through a patent analysis[J].Biomass&Bioenergy,2015,76:1-10.
[7]翟铖.基于合作专利的中国产学研协同创新合作网络结构与演化[D].广州:华南理工大学,2016.
[8]颜端武,刘秋艳,陈坤.基于专利计量的电动汽车领域技术创新网络演化研究[J].现代情报,2016,36(7):144-150.
[9]李登杰,翟东升,冯秀珍,等.基于动态网络的中药制剂技术创新网络演化研究[J].情报学报,2015,34(11):1164-1172.
[10]刘彤,郭鲁钢,杨冠灿.基于动态网络分析的专利合作网络演化分析--以纳米技术为例[J].情报杂志,2014,33(11):88-93.
[11]Caeley K M,Pfefer J,Reminga J,et al.ORA user's guide 2013[R].Carnegie-Mellon Univ Pittsburgh PA Insh of Software Research Internat,2013.