Policies for allocation of information in task-oriented groups: elitism and egalitarianism outperform welfarism

Reia, Sandro M.; Gomes, Paulo F.; Fontanari, José F.

doi:10.1140/epjb/e2019-100345-7

Cited by 6 publications

(3 citation statements)

References 35 publications

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“…In the context of animal behavior, [18] this property could be the abundance of a key resource, [19] the risk of predation in the group's surrounding, [20] or cues to migratory decision in seasonal migration. [21] In the context of epistemic groups, [22][23][24] which is the focus of the present contribution, that property could be the truthfulness of a certain stance, e.g., the efficacy of vaccines or face masks to prevent transmission of the coronavirus.…”

Section: The Modelmentioning

confidence: 99%

The synergy between two threats: disinformation and Covid-19

Tórtura¹,

Fontanari²

2022

Preprint

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The breakdown of trusted sources of information is probably one of the most serious problems today, since in the absence of a common ground, it will be impossible to address the problems that trouble our contemporary world. The Covid-19 pandemic is just a recent situation where the lack of agreed stances has led to failure and hopelessness. In fact, disinformation surrounding the Covid-19 has been a distinctive feature of this pandemic since its very beginning and has hampered what is perhaps the most important initiative to prevent the spread of the coronavirus, viz., an effective communication between scientifically-minded health authorities and the general public. To investigate how disinformation threatens epistemic security, here we propose and solve analytically a model where the individuals must accurately estimate some property of their hazardous environment. They can either explore the environment or copy the estimate from another individual, who may display a distorted version of its estimate. The parameters of the model are the hazardousness of the environment σ 2 , the copying probability w, which is a proxy for the credulity of the individuals, their degree of deceitfulness γ, and the cost of copying corrupted information η. We focus on the copying strategy that maximizes the survival chances of the individuals and find that the pure strategy w = 0 is optimal for small σ 2 and large γ and η. Since culture requires copying (and hence some degree of credulity), this is a doomsday scenario where culture is lost. However, when the individuals are likely to behave honestly, the other pure strategy w = 1 becomes optimal. Otherwise, the mixed strategy 0 < w < 1 is optimal. We find a rich phase-diagram where these optimal strategies are separated by continuous and discontinuous transition lines that join smoothly at a tricritical point.

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Section: The Modelmentioning

confidence: 99%

The synergy between two threats: disinformation and Covid-19

Tórtura¹,

Fontanari²

2022

Preprint

Self Cite

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“…In this way, the average degree K of the network varies from K = 0, for r = 0, to K = M − 1, when r ≥ z √ 2/2 (half the diagonal of the square). This random geometric graph is the originally random graph introduced to model wireless communication networks [40] and it has been recently used with different applications [8,[41][42][43][44].…”

Section: B Random Geometric Graph: Rggmentioning

confidence: 99%

Topological transition in a coupled dynamic in random networks

Gomes,

Fernandes,

Costa

2021

Preprint

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In this work, we study the topological transition in a model proposed by Saeedian et al. (Scientific Reports 2019 9:9726), which considers a coupled dynamics of node and link states, on the network known as random geometric graph (RGG). In that approach, each node has two cultural states and each link has also two states. There are six possible combinations of pairs (two nodes connected by one link) and half of them are categorized as a satisfying combination and the other half are unsatisfying one. The control parameter of the model dictates the probability of link and node updates. The system presents two phases: the absorbing phase is reached when all pairs of nodes become satisfying and, on the other hand, the active phase is present when there are both satisfying and unsatisfying pairs of nodes in the network. We found that, along with the unsatisfying pair density, the assortativity coefficient can also be used as an order parameter of the model. Additionaly, the assortativity coefficient gives an intuitive picture of the features on the topological transition of the network. We also calculated the components and cultural domains to add another view on the topological transition of the network.

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“…The RGGs were introduced in the 1960s to model wireless communication networks [19] and its connectivity properties were subsequently investigated for threshold phenomena [20,21]. More recently, RGGs have been used to model synchronization [22], opinion dynamics [23], epidemic spreading [24] and epistemic communities [25] in scenarios where the agents are geographically constrained in certain regions.…”

Section: Introductionmentioning

confidence: 99%

Comfort-driven mobility produces spatial fragmentation in Axelrod’s model

2020

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Axelrod's model for the dissemination of culture combines two key ingredients of social dynamics: social influence, through which people become more similar when they interact, and homophily, which is the tendency of individuals to interact preferentially with similar others. In that agentbased model, the agents are fixed to the nodes of a network and are allowed to interact with a predetermined set of peers only, resulting in the frustration of the agents that end up at the boundaries of the cultural domains. Here we modify Axelrod's model by allowing the possibility that the agents move away from their cultural opposites and stay put when near their cultural likes. Hence the social appeal or attractivity between any two agents is proportional to their cultural similarity and determines the odds that those agents will move apart or stay put. We find that the homophilydriven mobility fragments severely the influence network for low initial cultural diversity, resulting in a network composed of a macroscopic number of microscopic components in the thermodynamic limit. For high initial cultural diversity, we find that a macroscopic component coexists with the microscopic ones. The transition between these two fragmentation regimes changes from continuous to discontinuous as the step size increases and disappears altogether at a critical end point, so that for large step sizes the influence network is severely fragmented. Regardless of the fragmentation regime, we find that the absorbing configurations are always multicultural for nonzero step sizes.

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Policies for allocation of information in task-oriented groups: elitism and egalitarianism outperform welfarism

Cited by 6 publications

References 35 publications

The synergy between two threats: disinformation and Covid-19

The synergy between two threats: disinformation and Covid-19

Topological transition in a coupled dynamic in random networks

Comfort-driven mobility produces spatial fragmentation in Axelrod’s model

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