Network motifs emerge from interconnections that favor stability

2014/11/20 by Marco Tulio Angulo, Yang‐Yu Liu, Angulo, Marco Tulio +3
Neuroscience · Physics and Astronomy · #Biological Physics (physics.bio-ph) #Complex Network Analysis Techniques #FOS: Electrical engineering #FOS: Physical sciences #Functional Brain Connectivity Studies #Neural dynamics and brain function #Physics and Society (physics.soc-ph) #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1411.5412

openalex publication_date 2014/11/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

Network motifs are overrepresented interconnection patterns found in real-world networks. What functional advantages may they offer for building complex systems? We show that most network motifs emerge from interconnections patterns that best exploit the intrinsic stability characteristics of individual nodes. This feature is observed at different scales in a network, from nodes to modules, suggesting an efficient mechanism to stably build complex systems.

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