Diversity-induced resonance in the response to social norms

Tessone, Claudio J.; Sánchez, Ángel; Schweitzer, Frank

doi:10.1103/physreve.87.022803

Cited by 18 publications

(4 citation statements)

References 49 publications

(51 reference statements)

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“…A similar approach to look at norms in a public-goods setup [149] showed the appearance of so called diversity-induced resonance in an agent based model. The model considers 'conditional cooperation', a concept similar to self reinforcing dynamics, where the willingness of a user to follow a norm increases with the mass of followers.…”

Section: Modelling Normsmentioning

confidence: 99%

Opinion Dynamics: Models, Extensions and External Effects

Sîrbu

Loreto

Servedio

et al. 2016

Understanding Complex Systems

140

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Recently, social phenomena have received a lot of attention not only from social scientists, but also from physicists, mathematicians and computer scientists, in the emerging interdisciplinary field of complex system science. Opinion dynamics is one of the processes studied, since opinions are the drivers of human behaviour, and play a crucial role in many global challenges that our complex world and societies are facing: global financial crises, global pandemics, growth of cities, urbanisation and migration patterns, and last but not least important, climate change and environmental sustainability and protection. Opinion formation is a complex process affected by the interplay of different elements, including the individual predisposition, the influence of positive and negative peer interaction (social networks playing a crucial role in this respect), the information each individual is exposed to, and many others. Several models inspired from those in use in physics have been developed to encompass many of these elements, and to allow for the identification of the mechanisms involved in the opinion formation process and the understanding of their role, with the practical aim of simulating opinion formation and spreading under various conditions. These modelling schemes range from binary simple models such as the voter model, to multi-dimensional continuous approaches. Here, we provide a review of recent methods, focusing on models employing both peer interaction and external information, and emphasising the role that less studied mechanisms, such as disagreement, has in driving the opinion dynamics. Due to the important role that external information (mainly in the form of mass media broadcast) can have in enhancing awareness of social issues, a special emphasis will be devoted to study different forms it can take, investigating their effectiveness in driving the opinion formation at the population level. The review shows that, although a large number of approaches exist, some mechanisms such as the effect of multiple external information sources could largely benefit from further studies. Additionally, model validation with real data, which are starting to become available, is still largely lacking and should in our opinion be the main ambition of future investigations

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Section: Modelling Normsmentioning

confidence: 99%

Opinion Dynamics: Models, Extensions and External Effects

Sîrbu

Loreto

Servedio

et al. 2016

Understanding Complex Systems

140

View full text Add to dashboard Cite

show abstract

“…Numerous studies have documented the emergence of resonance effects, i.e. the amplification of global network oscillations due to diversity, for both bistable and excitable oscillator networks [45][46][47][48][49][50][51][52][53][54]. This effect has been named diversityinduced resonance [45] and constitutes an important phenomenon in the context of the present work, where it will be studied by choosing network configurations, topology and coupling relevant to realistic β-cell clusters.…”

Section: Introductionmentioning

confidence: 94%

Hubs, diversity, and synchronization in FitzHugh-Nagumo oscillator networks: Resonance effects and biophysical implications

Scialla,

Loppini,

Patriarca

et al. 2021

Preprint

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Using the FitzHugh-Nagumo equations to represent the oscillatory electrical behavior of β-cells, we develop a coupled oscillator network model with cubic lattice topology, showing that the emergence of pacemakers or hubs in the system can be viewed as a natural consequence of oscillator population diversity. The optimal hub to non hub ratio is determined by the position of the diversity-induced resonance maximum for a given set of FitzHugh-Nagumo equation parameters and is predicted by the model to be in a range that is fully consistent with experimental observations. The model also suggests that hubs in a β-cell network should have the ability to "switch on" and "off" their pacemaker function. As a consequence, their relative amount in the population can vary in order to ensure an optimal oscillatory performance of the network in response to environmental changes, such as variations of an external stimulus.

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“…A recent work [10], whose main results are summarized in the Appendix of this paper, has reported that groups composed of humans facing a social dilemma are posed near a critical regime: traditionally, the concept of criticality arises in statistical mechanics in the study of phase transitions, and identifies an equilibrium configuration of a system poised at the boundary between a disordered and an ordered phase (as for instance liquid and solid, ferromagnetic and paramagnetic, and so on) [11][12][13][14]. Evidence of critical behaviour has been detected also in animal societies, such as flock of birds [15], ant groups [16], or communities of macaques [17], but to our knowledge [10] is the first to attest signatures of criticality in human cooperative systems too.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary advantages of turning points in human cooperative behaviour

Vilone

Realpe-Gómez²,

Andrighetto

2021

PLoS ONE

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Cooperation is crucial to overcome some of the most pressing social challenges of our times, such as the spreading of infectious diseases, corruption and environmental conservation. Yet, how cooperation emerges and persists is still a puzzle for social scientists. Since human cooperation is individually costly, cooperative attitudes should have been eliminated by natural selection in favour of selfishness. Yet, cooperation is common in human societies, so there must be some features which make it evolutionarily advantageous. Using a cognitive inspired model of human cooperation, recent work Realpe-Gómez (2018) has reported signatures of criticality in human cooperative groups. Theoretical evidence suggests that being poised at a critical point provides evolutionary advantages to groups by enhancing responsiveness of these systems to external attacks. After showing that signatures of criticality can be detected in human cooperative groups composed by Moody Conditional Cooperators, in this work we show that being poised close to a turning point enhances the fitness and make individuals more resistant to invasions by free riders.

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Diversity-induced resonance in the response to social norms

Cited by 18 publications

References 49 publications

Opinion Dynamics: Models, Extensions and External Effects

Opinion Dynamics: Models, Extensions and External Effects

Hubs, diversity, and synchronization in FitzHugh-Nagumo oscillator networks: Resonance effects and biophysical implications

Evolutionary advantages of turning points in human cooperative behaviour

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