Social opinion dynamics is not chaotic

Lim, Chjan C.; Zhang, Weituo

doi:10.1142/s0217979215410064

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…It is a widespread belief that pure opinion formation systems are unlikely to show chaotic behavior [32], although there are examples of chaos even in simple deterministic opinion models [33]. We observe for the system presented in this article either complex periodic patterns or chaotic dynamics with large fluctuations in the distribution of the opinions causing substantial variations over time in the total number of infected.…”

Section: Introductionmentioning

confidence: 60%

Chaos in Opinion-Driven Disease Dynamics

Götz,

Krüger,

Niedzielewski

et al. 2024

Entropy

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During the COVID-19 pandemic, it became evident that the effectiveness of applying intervention measures is significantly influenced by societal acceptance, which, in turn, is affected by the processes of opinion formation. This article explores one among the many possibilities of coupled opinion–epidemic systems. The findings reveal either intricate periodic patterns or chaotic dynamics, leading to substantial fluctuations in opinion distribution and, consequently, significant variations in the total number of infections over time. Interestingly, the model exhibits a protective pattern.

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Section: Introductionmentioning

confidence: 60%

Chaos in Opinion-Driven Disease Dynamics

Götz,

Krüger,

Niedzielewski

et al. 2024

Entropy

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An overview of structurally complex network-based modeling of public opinion in the “We the Media” era

Wang

Liu

et al. 2018

Int. J. Mod. Phys. B

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As the transmission of public opinion on the Internet in the “We the Media” era tends to be supraterritorial, concealed and complex, the traditional “point-to-surface” transmission of information has been transformed into “point-to-point” reciprocal transmission. A foundation for studies of the evolution of public opinion and its transmission on the Internet in the “We the Media” era can be laid by converting the massive amounts of fragmented information on public opinion that exists on “We the Media” platforms into structurally complex networks of information. This paper describes studies of structurally complex network-based modeling of public opinion on the Internet in the “We the Media” era from the perspective of the development and evolution of complex networks. The progress that has been made in research projects relevant to the structural modeling of public opinion on the Internet is comprehensively summarized. The review considers aspects such as regular grid-based modeling of the rules that describe the propagation of public opinion on the Internet in the “We the Media” era, social network modeling, dynamic network modeling, and supernetwork modeling. Moreover, an outlook for future studies that address complex network-based modeling of public opinion on the Internet is put forward as a summary from the perspective of modeling conducted using the techniques mentioned above.

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Wandering Drunkards Walk after Fibonacci Rabbits: How the Presence of Shared Market Opinions Modifies the Outcome of Uncertainty

Maloumian

2024

Entropy

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Shared market opinions and beliefs by market participants generate a set of constraints that mediate information through a not-so-unstable system of expected target prices. Price trajectories, within these sets of constraints, confirm or disprove the likelihood of participant expectations and cannot, de facto, be considered permutable, as literature has shown, since their inner structure is dynamically affected by their own progress, suggesting per se the presence of both heat and cycles. This study described and discussed how trajectories are built using different alphabets and suggests that prices follow an ergodic course within structurally similar tessellation classes. It is reported that the courses of price moves are self-similar due to their a priori structure, and they do not need to be complete in order to create the conditions, in resembling conditions, for the appearance of the well-known and commonly used Fibonacci ratios between price trajectories. To date, financial models and engineering are mostly based on the mathematics of randomness. If these theoretical findings need empirical validation, such a potential infrastructure of ratios would suggest the possibility for a superstructure to exist, in other words, the emergence of exploitable patterns.

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Social opinion dynamics is not chaotic

Cited by 3 publications

References 26 publications

Chaos in Opinion-Driven Disease Dynamics

Chaos in Opinion-Driven Disease Dynamics

An overview of structurally complex network-based modeling of public opinion in the “We the Media” era

Wandering Drunkards Walk after Fibonacci Rabbits: How the Presence of Shared Market Opinions Modifies the Outcome of Uncertainty

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