Affiliation:
1. Faculty of Informatics, Institute of Computing, Università della Svizzera italiana , Lugano Switzerland
Abstract
Abstract
Until 2022, the US patent citation network contained almost 10 million patents and over 100 million citations, presenting a challenge in analysing such expansive, intricate networks. To overcome limitations in analysing this complex citation network, we propose a stochastic gradient relational event additive model (STREAM) that models the citation relationships between patents as time events. While the structure of this model relies on the relational event model, STREAM offers a more comprehensive interpretation by modelling the effect of each predictor non-linearly. Overall, our model identifies key factors driving patent citations and reveals insights in the citation process.
Funder
Swiss National Science Foundation
Publisher
Oxford University Press (OUP)
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