|
|
|
| Technological Path Detection Approach Based on Association Analysis |
| Wan Xiaoping, Liu Xiang, Yan Xiaoting, Wang Jinxia |
| School of Information Management, Central China Normal University, Wuhan 430079 |
|
|
|
|
Abstract Discovering the technological path is of great significance in tracing the history of technology development, predicting technology development trends, and learning advanced technologies. We design a dynamic support threshold to filter unnecessary patents and then form a patented technology network based on the relationship between patent citations. Finally, we obtain a simplified technological path map with the path searching algorithm. Compared to the main path analysis method, our proposed method is more reasonable and accurate in selecting key patent nodes and analyzing patent relations. We test and verify the effectiveness and advantages of our method by applying it to the field of organic light-emitting diodes.
|
|
Received: 30 April 2018
|
|
|
|
[1] Tu Y, Hsu S.Constructing conceptual trajectory maps to trace the development of research fields[J]. Journal of the Association for Information Science and Technology, 2016, 67(8): 2016-2031.
[2] 黄鲁成, 蔡爽. 基于专利的技术轨道实证研究[J]. 科学学研究, 2009, 27(3): 363-367.
[3] 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.
[4] 熊鸿儒, 王毅, 林敏, 等. 技术轨道研究: 述评与展望[J]. 科学学与科学技术管理, 2012, 33(7): 21-28.
[5] 王燕玲. 技术轨道识别研究[D]. 武汉: 武汉大学, 2013: 1-7.
[6] 翟东升, 蔡力伟, 张杰, 等. 基于专利的技术融合创新轨道识别模型研究——以云计算技术为例[J]. 情报学报, 2015, 34(4): 352-360.
[7] Hummon N P, Doreian P.Connectivity in a citation network: The development of DNA theory[J]. Social Networks, 1989, 11(1): 39-63.
[8] Batagelj V. Efficient algorithms for citation network analysis[J/OL]. arXiv, 2003: 0309023. [2018-3-27]. https://arxiv.org/ abs/cs/0309023.
[9] Liu J S, Lu L Y.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.
[10] Lucioarias D, Leydesdorff L.Main-path analysis and path- dependent transitions in HistCite™-based historiograms[J]. Journal of the Association for Information Science and Technology, 2008, 59(12): 1948-1962.
[11] Gwak J H, Sohn S Y.A novel approach to explore patent development paths for subfield technologies[J]. Journal of the Association for Information Science and Technology, 2018, 69(3): 410-419.
[12] 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.
[13] 陈亮, 杨冠灿, 张静, 等. 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.
[14] 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.
[15] 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.
[16] 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.
[17] 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, 33(8): 883-891.
[18] 刘凤朝, 马荣康, 孙玉涛. 基于专利技术共现网络的纳米技术演化路径研究[J]. 科学学研究, 2012, 30(10): 1500-1508.
[19] Park H, Magee C L.Tracing technological development trajectories: A genetic knowledge persistence-based main path approach[J]. PLoS ONE, 2017, 12(1): 0170895.
[20] 唐果媛, 张薇. 基于共词分析法的学科主题演化研究进展与分析[J]. 图书情报工作, 2015, 59(5): 128-136.
[21] Liu X, Jiang T T, Ma F C.Collective dynamics in knowledge networks: Emerging trends analysis[J]. Journal of Informetrics, 2013, 7(2): 425-438.
[22] 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.
[23] Agrawal R, Srikant R.Fast algorithms for mining association rules in large databases[C]// Proceedings of IEEE International Conference on Software Engineering and Service Science. IEEE, 2014: 487-499.
[24] Han J, Pei J, Yin Y, et al.Mining frequent patterns without candidate generation[J]. International Conference on Management of Data, 2000, 29(2): 1-12. |
|
|
|
