Antagonistic Phenomena in Network Dynamics

Area of Science:

• Complex Systems Science
• Network Science
• Systems Biology
• Materials Science
• Social Network Analysis

Background:

• Complex systems are increasingly modeled as networks of interacting components.
• These networks display emergent phenomena not predictable from individual parts.
• Existing network science often struggles to explain these counterintuitive collective behaviors.

Purpose of the Study:

• To review and unify recent literature on two classes of emergent network phenomena.
• To highlight phenomena arising from collective and decentralized network dynamics.
• To propose a broader class of unprecedented network behaviors for future research.

Main Methods:

• Literature review of recent research in network modeling.
• Categorization of phenomena into antagonistic responses and coexistence of incongruous behaviors.
• Analysis of diverse examples across natural, social, and engineered systems.

Main Results:

• Identified antagonistic responses (e.g., negative compressibility, rescue interactions, negative resistance, Braess paradox).
• Identified coexistence of incongruous behaviors (e.g., remote synchronization, chimera states, converse symmetry breaking, remote control).
• These phenomena stem from the collective and decentralized nature of network dynamics.

Conclusions:

• These diverse phenomena represent a broader class of unprecedented network behaviors.
• Future research should focus on revealing and explaining these emergent network properties.
• A unified understanding of network dynamics is crucial for advancing complex systems science.