Non-Normal Interactions Create Socio-Economic Bubbles
Sornette Didier, Sandro Lera, Jianhong Lin, Ke Wu

TL;DR
This paper introduces a new mechanism for socio-economic bubbles driven by non-normal network interactions, which can produce bursts of activity without fine-tuning to critical points, validated through analysis of meme stocks.
Contribution
The authors propose a novel model based on non-normal network properties that explains collective exuberance without critical tuning, expanding understanding of social system instabilities.
Findings
Non-normal networks cause surges in herd behavior across various parameters.
Financial bubbles correlate with the degree of non-normality in networks.
The model explains socio-economic bursts without fine-tuning to critical points.
Abstract
In social networks, bursts of activity often result from the imitative behavior between interacting agents. The Ising model, along with its variants in the social sciences, serves as a foundational framework to explain these phenomena through its critical properties. We propose an alternative generic mechanism for the emergence of collective exuberance within a broad class of agent-based models. We show that our model does not require the fine-tuning to a critical point, as is commonly done to explain bursts of activity using the Ising model and its variants. Instead, our approach hinges on the intrinsic non-symmetric and hierarchical organization of socio-economic networks. These non-normal networks exhibit transient and unsustainable surges in herd behavior across a wide range of control parameters even in the subcritical regime, thereby eliminating the need for the - arguably…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Opinion Dynamics and Social Influence · Complex Network Analysis Techniques
