多层图时序专利网络中的发明者影响力演变  

Evolution of Inventor Influence in Multi-layer Graph Sequential Patent Networks

作　　者：姚月娇 刘向[1] 余博文 YAO Yuejiao;LIU Xiang;YU Bowen(School of Information Management,Central China Normal University,Wuhan 430079)

机构地区：[1]华中师范大学信息管理学院,武汉430079

出　　处：《复杂系统与复杂性科学》2023年第3期35-43,共9页Complex Systems and Complexity Science

基　　金：国家自然科学基金(71671306)。

摘　　要：为探究发明者影响力的演变规律,研究了多层图时序专利发明者引用网络的节点影响力模型。划分网络层并根据节点影响延续性和高影响力节点的吸引性构建层间联系,得到发明者影响力的时序演变数据后利用分段拟合方法挖掘其中的分布和演变规律。实证分析“分子生物学与微生物学”领域专利数据,表明专利的质量和数量决定着发明者的影响力水平。高影响力发明者持续受关注,大部分中等影响力发明者和低影响力发明者会逐渐边缘化。To explore the evolution of inventor influence,this paper investigates the node influence model in a multi-layer graph sequential patent citation network.Divide network layers and construct the connections between layers based on the continuity of node influence and the attractiveness of high-influence nodes.After obtaining the time series evolution data of inventor influence,the distribution and evolution law of inventor influence is explored by using piecewise fitting method.An empirical analysis of patent data in the field of‘Molecular Biology and Microbiology’shows that the quality and quantity of patents determine the level of influence of inventors.With high-influence inventors continuing to receive attention,most medium-influence and low-influence inventors gradually are marginalized.

关 键 词：多层图时序网络 发明者影响力 专利网络 演变分析 

分 类 号：G353.1[文化科学—情报学]