科技主路径分析:提升路径多样性的组合路径
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摘要
[目的/意义]文章针对基本主路径方法分析所得主路径过于单一,难以展示技术的不连续发展、技术的多分支组成,以及技术的多知识流融合等问题。[方法/过程]提出多源前向局域搜索路径、多汇逆向局域搜索路径、全局组合路径。[结果/结论]相比基本主路径分析方法,该方法在路径多样性、重要节点包含度和节点时间分布广度方面均有所提升。通过对富勒烯领域的分析证实了组合路径的可行性。
[Purpose/significance] The basic main path is single and difficult to show the discontinuous development of technology,multi-branch components of technology,and multi-knowledge flow integration of technologies.[Method/process]This paper proposes combination approaches of multi-source forward local search path,multi-sink reverse local search path and global combination path to boost the variety of main path.[Result/conclusion]Compared with the basic main path analysis method,this approach has improved the path variety,the important node inclusion,and the time distribution width of nodes.The analysis of fullerene field confirmed the feasibility of the method.
[Purpose/significance] The basic main path is single and difficult to show the discontinuous development of technology,multi-branch components of technology,and multi-knowledge flow integration of technologies.[Method/process]This paper proposes combination approaches of multi-source forward local search path,multi-sink reverse local search path and global combination path to boost the variety of main path.[Result/conclusion]Compared with the basic main path analysis method,this approach has improved the path variety,the important node inclusion,and the time distribution width of nodes.The analysis of fullerene field confirmed the feasibility of the method.
引文
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[10] 杨中楷,刘佳.基于专利引文网络的技术轨道识别研究——以太阳能光伏电池板领域为例[J].科学学研究,2011,29 (9):1311-1317.
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[12] 李健,韩毅.基于主路径的领域知识扩散演变研究——以太阳能领域为例[J].情报学报,2014(8):883-891.
[13] 王燕玲.技术轨道识别研究[D].武汉:武汉大学,2013.
[14] MARTINELLI A,NOMALER O.Measuring knowledge persistence:a genetic approach to patent citationnetworks[J].Journal of Evolutionary Economics,2014,24(3):623-652.
[15] PARK H,MAGEE C L.Tracing technological development trajectories:a genetic knowledge persistence-based main path approach[J/OL].PLoS One,2017,12(1):0170895.[2018-03-27].https://journals.plos.org/plosone/article?id=10.1371/journal.pone.017089.
[16] BASNET S,MAGEE C L.Modeling of technological performance trends using design theory[J].Design Science,2016,2:1-35.
[17] YEO W,KIM S,LEE J-M,KANG J.Aggregative and stochastic model of main path identification:a case study ongraphene[J].Scientometrics,2014,98(1):633-655.
[18] 马瑞敏,张欣.基于Pathfinder算法的领域知识交流主路径发现研究[J].情报学报,2016,35(8):856-863.
[19] 万小萍,刘向,闫肖婷,汪锦霞.基于关联分析的技术演进路径发现[J].情报学报,2018,37(11):1087-1094.
[20] LIU J S,LU LY.An integrated approach for main path analysis:development of the Hirsch index as an example[J].Journal of the Association for Information Science and Technology,2012,63(3):528-542.
[21] VERSPAGEN B.Mapping technological trajectories as patent citation networks:a study on the history of fuel cellresearch[J].Advances in Complex Systems,2007,10(1):93-115.
[2] BATAGELJ V.Efficient algorithms for citation networkanalysis[EB/OL].[2018-03-27].https://arxiv.org/abs/cs/0309023.
[3] TU Y,HSU S.Constructing conceptual trajectory maps to trace the development of researchfields[J].Journal of the Association for Information Science and Technology,2016,67(8):2016-2031.
[4] GWAK J H,SOHN S Y.A novel approach to explore patent development paths for subfieldtechnologies[J].Journal of the Association for Information Science and Technology,2017,69.DOI:10.1002/asi.23962.
[5] 祝清松,冷伏海.基于引文主路径文献共被引的主题演化分析[J].情报学报,2014,33(5):498-506.
[6] 陈亮,杨冠灿,张静,范云满.面向技术演化分析的多主路径方法研究[J].图书情报工作,2015,59 (10):124-130.
[7] 董克,刘德洪,江洪,等.基于主路径分析的HistCite结果改进研究[J].情报理论与实践,2011,34(3):113-116.
[8] 隗玲,方曙.引文网络主路径研究进展评述及展望[J].情报理论与实践,2016,39(9):128-133.
[9] EPICOCO M.Knowledge patterns and sources of leadership:mapping the semiconductor miniaturizationtrajectory[J].Research Policy,2013,42(1):180-195.
[10] 杨中楷,刘佳.基于专利引文网络的技术轨道识别研究——以太阳能光伏电池板领域为例[J].科学学研究,2011,29 (9):1311-1317.
[11] HO M H C,LIN V H,LIU J S.Exploring knowledge diffusion among nations:a study of core technologies in fuelcells[J].Scientometrics,2014,100(1):149-171.
[12] 李健,韩毅.基于主路径的领域知识扩散演变研究——以太阳能领域为例[J].情报学报,2014(8):883-891.
[13] 王燕玲.技术轨道识别研究[D].武汉:武汉大学,2013.
[14] MARTINELLI A,NOMALER O.Measuring knowledge persistence:a genetic approach to patent citationnetworks[J].Journal of Evolutionary Economics,2014,24(3):623-652.
[15] PARK H,MAGEE C L.Tracing technological development trajectories:a genetic knowledge persistence-based main path approach[J/OL].PLoS One,2017,12(1):0170895.[2018-03-27].https://journals.plos.org/plosone/article?id=10.1371/journal.pone.017089.
[16] BASNET S,MAGEE C L.Modeling of technological performance trends using design theory[J].Design Science,2016,2:1-35.
[17] YEO W,KIM S,LEE J-M,KANG J.Aggregative and stochastic model of main path identification:a case study ongraphene[J].Scientometrics,2014,98(1):633-655.
[18] 马瑞敏,张欣.基于Pathfinder算法的领域知识交流主路径发现研究[J].情报学报,2016,35(8):856-863.
[19] 万小萍,刘向,闫肖婷,汪锦霞.基于关联分析的技术演进路径发现[J].情报学报,2018,37(11):1087-1094.
[20] LIU J S,LU LY.An integrated approach for main path analysis:development of the Hirsch index as an example[J].Journal of the Association for Information Science and Technology,2012,63(3):528-542.
[21] VERSPAGEN B.Mapping technological trajectories as patent citation networks:a study on the history of fuel cellresearch[J].Advances in Complex Systems,2007,10(1):93-115.