Pattern Recognition of Innovation Partnerships in China’s Integrated Circuit Industry: Application of Network Motif Analytics

Exploring information embedded in local network structure is essential for understanding the overall network structure and its functions. The development of innovation clusters in China’s Integrated Circuit (IC) industry has emerged as a key driver of industrial innovation. Different innovation clusters exhibit different collaboration patterns. Therefore, this study takes China’s Integrated Circuit Industry from 2011 to 2020 as the research object. It applies the motif-based method to analyze the three-node subgraphs and four-node subgraphs in the innovation network. The analysis focuses on collaboration patterns and the evolution of collaboration patterns, the distribution of collaboration patterns, as well as network motifs and network metrics. The results lead to the following conclusions. First, subgraphs featuring closed structures, particularly those with triadic closure, are identified as motifs and exhibit greater structural stability. In contrast, subgraphs lacking such closed configurations are classified as anti-motifs. However, transitions between anti-motifs and motifs are observed. Second, even systems of the same type may exhibit different subgraph ratio profiles and therefore belong to different motif families. At the same time, one motif superfamily may correspond to one or multiple motif concentration distributions. Third, network motifs in the innovation network are correlated with basic network characteristics.

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Publication Details

Journal
Systems
Published
2026-04-16
DOI
https://doi.org/10.3390/systems14040433
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Pattern Recognition of Innovation Partnerships in China’s Integrated Circuit Industry: Application of Network Motif Analytics

Hongyun Zhao, Longfei Li, Zongshui Wang, Xinyang Guo
Systems
Innovation and Knowledge Management
article

Pattern Recognition of Innovation Partnerships in China’s Integrated Circuit Industry: Application of Network Motif Analytics

Hongyun Zhao, Longfei Li, Zongshui Wang, Xinyang Guo
article en

Abstract

Exploring information embedded in local network structure is essential for understanding the overall network structure and its functions. The development of innovation clusters in China’s Integrated Circuit (IC) industry has emerged as a key driver of industrial innovation. Different innovation clusters exhibit different collaboration patterns. Therefore, this study takes China’s Integrated Circuit Industry from 2011 to 2020 as the research object. It applies the motif-based method to analyze the three-node subgraphs and four-node subgraphs in the innovation network. The analysis focuses on collaboration patterns and the evolution of collaboration patterns, the distribution of collaboration patterns, as well as network motifs and network metrics. The results lead to the following conclusions. First, subgraphs featuring closed structures, particularly those with triadic closure, are identified as motifs and exhibit greater structural stability. In contrast, subgraphs lacking such closed configurations are classified as anti-motifs. However, transitions between anti-motifs and motifs are observed. Second, even systems of the same type may exhibit different subgraph ratio profiles and therefore belong to different motif families. At the same time, one motif superfamily may correspond to one or multiple motif concentration distributions. Third, network motifs in the innovation network are correlated with basic network characteristics.

SystemsVol. 14(4)
Chinese Academy of Sciences (CN), Institutes of Science and Development (CN), Academy of Mathematics and Systems Science (CN), University of Chinese Academy of Sciences (CN), Beijing Information Science & Technology University (CN), Fujian University of Technology (CN)
Chinese Academy of Sciences, China Postdoctoral Science Foundation, University of Chinese Academy of Sciences
Industry, innovation and infrastructure, Partnerships for the goals
Openalex Percentile: Top 20%
Innovation and Knowledge Management
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