Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships
arXiv:2203.14479 · doi:10.1016/j.techfore.2022.121628
Abstract
The use of patent citation networks as research tools is becoming increasingly commonplace in the field of innovation studies. However, these networks rarely consider the contexts in which these citations are generated and are generally restricted to a single jurisdiction. Here, we propose and explore the use of a multilayer network framework that can naturally incorporate citation metadata and stretch across jurisdictions, allowing for a complete view of the global technological landscape that is accessible through patent data. Taking a conservative approach that links citation network layers through triadic patent families, we first observe that these layers contain complementary, rather than redundant, information about technological relationships. To probe the nature of this complementarity, we extract network communities from both the multilayer network and analogous single-layer networks, then directly compare their technological composition with established technological similarity networks. We find that while technologies are more splintered across communities in the multilayer case, the extracted communities match much more closely the established networks. We conclude that by capturing citation context, a multilayer representation of patent citation networks is, conceptually and empirically, better able to capture the significant nuance that exists in real technological relationships when compared to traditional, single-layer approaches. We suggest future avenues of research that take advantage of novel computational tools designed for use with multilayer networks.
arXiv comment44 pages, 5 figures, to be published in Technological Forecasting and Social Change
References in corpus (36)
- Finding and evaluating community structure in networks
- Community detection in graphs
- Multilayer Networks
- The structure and dynamics of multilayer networks
- Networks beyond pairwise interactions: structure and dynamics
- Mathematical Formulation of Multi-Layer Networks
- The physics of higher-order interactions in complex systems
- Structural measures for multiplex networks
- Random Walks on Multiplex Networks
- Centrality in Interconnected Multilayer Networks
- The Statistical Physics of Real-World Networks
- Growing multiplex networks
- Eigenvector centrality of nodes in multiplex networks
- Inter-similarity between coupled networks
- Transport on coupled spatial networks
- Community detection, link prediction, and layer interdependence in multilayer networks
- Multilayer Brain Networks
- A multilayer perspective for the analysis of urban transportation systems
- Topology and Evolution of Technology Innovation Networks
- DELTACON: A Principled Massive-Graph Similarity Function
- Measuring Technological Distance for Patent Mapping
- Analysis of Neighbourhoods in Multi-layered Dynamic Social Networks
- Early identification of important patents through network centrality
- Mapping Technology Space by Normalizing Patent Networks
- Community detection with node attributes in multilayer networks
- Transitive Reduction of Citation Networks
- Fame and Obsolescence: Disentangling growth and ageing dynamics of patent citations
- Long-run dynamics of the U.S. patent classification system
- Degree distributions of bipartite networks and their projections
- Evaluating the impact of interdisciplinary research: a multilayer network approach
- netrd: A library for network reconstruction and graph distances
- Citations Driven by Social Connections? A Multi-Layer Representation of Coauthorship Networks
- Optimal transport in multilayer networks for traffic flow optimization
- Ex-ante measure of patent quality reveals intrinsic fitness for citation-network growth
- A framework to evaluate whether to pool or separate behaviors in a multilayer network
- A multi-layer network approach to modelling authorship influence on citation dynamics in physics journals