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| Evolution of Inventor Influence in Multi-layer Graph Sequential Patent Networks |
| YAO Yuejiao, LIU Xiang, YU Bowen
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| School of Information Management, Central China Normal University, Wuhan 430079 |
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Abstract 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.
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Received: 10 May 2022
Published: 08 October 2023
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