Self-Organised Criticality and Emergent Hyperbolic Networks -- Blueprint for Complexity in Social Dynamics

Abstract

Online social dynamics based on human endeavours exhibit prominent complexity in the emergence of new features embodied in the appearance of collective social values. The vast amount of empirical data collected at various websites provides a unique opportunity to quantitative study od the underlying social dynamics in full analogy with complex systems in the physics laboratory. Here, we briefly describe the extent of these analogies and indicate the methods from other science disciplines that the physics theory can incorporate to provide the adequate description of human entities and principles of their self-organisation. We demonstrate the approach on two examples using the empirical data regarding the knowledge creation processes in online chats and questions-and-answers. Precisely, we describe the self-organised criticality as the acting mechanisms in the social knowledge-sharing dynamics and demonstrate the emergence of the hyperbolic geometry of the co-evolving networks that underlie these stochastic processes.

arXiv comment10 pages, 10 figures

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Cited by in corpus (8)

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• Spectral properties of hyperbolic nano-networks with tunable aggregation of simplexes
• Hidden geometry and dynamics of complex networks: Spin reversal in nanoassemblies with pairwise and triangle-based interactions
• Fundamental interactions in self-organized critical dynamics on higher-order networks
• Effects of Turbulent Environment and Random Noise on Self-Organized Critical Behavior: Universality vs Nonuniversality
• Effects of turbulent environment on self-organized critical behavior: Isotropy vs Anisotropy
• Apparent universality of $1/f$ spectra as an artifact of finite-size effects
• Renormalization group analysis of a self-organized critical system: Intrinsic anisotropy vs random environment