Combining evolutionary game theory and network theory to analyze human cooperation patterns

Scatá, Marialisa; Stefano, Alessandro Di; Corte, Aurelio La; Lió, Píetro; Catania, Emanuele; Guardo, Ermanno; Pagano, Salvatore

doi:10.1016/j.chaos.2016.04.018

Cited by 38 publications

(24 citation statements)

References 54 publications

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“…We introduce a new definition of weight in the multiplex network, as follows: . Weights are function of h ij , which is the homophily between nodes, that is the tendency to associate and interact more with similar people 34 , 35 , and the absolute difference of awareness, | aw i − aw j |, between nodes i and j . Thus, when this difference of awareness is equal to zero, nodes will have a weight , only if there is a link between i and j .…”

Section: Modelmentioning

confidence: 99%

“…By contrast, in 25 it has been investigated and quantified the impact of the coevolution of the two processes in all the layers of a multiplex network. Coherently with the real nature of multiplex networks 33 – 35 , it has been taken into account heterogeneity and its impact along with awareness on the epidemic spreading 25 , 36 . Aiming at capturing the complexity of the coevolution, we consider a weighted multiplex network, as social ties between nodes may have different weights reflecting their intensity 37 .…”

Section: Introductionmentioning

confidence: 99%

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Quantifying the propagation of distress and mental disorders in social networks

Scatá

Stefano

Corte

et al. 2018

Sci Rep

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Heterogeneity of human beings leads to think and react differently to social phenomena. Awareness and homophily drive people to weigh interactions in social multiplex networks, influencing a potential contagion effect. To quantify the impact of heterogeneity on spreading dynamics, we propose a model of coevolution of social contagion and awareness, through the introduction of statistical estimators, in a weighted multiplex network. Multiplexity of networked individuals may trigger propagation enough to produce effects among vulnerable subjects experiencing distress, mental disorder, which represent some of the strongest predictors of suicidal behaviours. The exposure to suicide is emotionally harmful, since talking about it may give support or inadvertently promote it. To disclose the complex effect of the overlapping awareness on suicidal ideation spreading among disordered people, we also introduce a data-driven approach by integrating different types of data. Our modelling approach unveils the relationship between distress and mental disorders propagation and suicidal ideation spreading, shedding light on the role of awareness in a social network for suicide prevention. The proposed model is able to quantify the impact of overlapping awareness on suicidal ideation spreading and our findings demonstrate that it plays a dual role on contagion, either reinforcing or delaying the contagion outbreak.

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Section: Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantifying the propagation of distress and mental disorders in social networks

Scatá

Stefano

Corte

et al. 2018

Sci Rep

Self Cite

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“…Evolutionary game theory has a long history since it is put forward and it has been applied to explain many dynamic evolution phenomenon, such as human cooperative behavior [33], the evolutionary choice of nature [34], and social games [35] etc. Specifically speaking, in terms of human behavior, Marialisa et al [36] used social network and game theory to investigate the evolution of human cooperation based on the perspective of the homophily, and they explained the phenomenon of the "birds of a feather flock together"; Liu and Chen [37] explored the prosocial exclusion and the antisocial exclusion in the human cooperation; Dong et al [38] considered that self-interest, the behavior of others, the reaction to rewards, and the reaction to punishment can effect the cooperation of human behavior; furthermore, some scholars have studied human cooperative behavior from reputation mechanism [39] and moral hazard [40,41]. In terms of the evolutionary choice of nature, Brown [42] considered that game theory not only could be applied to matrix games and social games, it also could be applied to speciation, macroevolution and perhaps even to cancer; Sample and Allen [43] studied the weak selection and large population size in the evolutionary game theory.…”

Section: Introductionmentioning

confidence: 99%

Knowledge Input or Not in the Dynamic Cooperation Behavior of Top Management Teams? From the Perspective of Knowledge Flow

2020

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Top management teams (TMTs) play an important role in enterprises. How to improve the cooperation of TMTs in the process of the mixed ownership reform of state-owned enterprise is a new era theme and currently a key objective in China. In this paper, we use evolutionary game theory to research the dynamic behavior of TMTs from the perspective of knowledge input and knowledge flow. We construct the evolutionary game model from the dimensions of knowledge input, knowledge flow, cooperation costs, government reward, and government penalty firstly, then we explore the strategy selection on knowledge input or not in the cooperation of TMTs between state-owned enterprise and private enterprise. Finally, we discuss the model's local stability and perform a simulation analysis of the factors that can influence the stability of the model. The results show that the final strategy choices of TMTs between two parties are related to not only the initial payment matrix constructed but also the selection of the initial parameters of the partners: Under different situations, the strategy evolution result will be stable at (input, not input), (not input, input) and (input, input). Increasing the degree of knowledge flow, government reward, and government penalty and reducing the cooperation costs between state-owned enterprise and private enterprise can promote the TMTs' cooperation in the process of the mixed ownership reform. Based on the conclusions, we put forward relevant suggestions for enterprises and the government. We hope that this research can provide some sustainable solutions to improve the cooperation of the TMTs between stateowned and private enterprise. INDEX TERMS Mixed ownership reform; top management teams; state-owned enterprise; knowledge flow; cooperative behavior; evolutionary game

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“…where h ij is the homophily between nodes/human users i and j, that is the tendency to associate and interact more with similar people [22], [63], given by:…”

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confidence: 99%

A Multiplex Social Contagion Dynamics Model to Shape and Discriminate D2D Content Dissemination

Scatá

Stefano

Corte

et al. 2021

IEEE Trans. Cogn. Commun. Netw.

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5G network technology is growing fast, thus the number of devices and the traffic are likely to pose impressive challenges. A new paradigm called "Internet-of-People" (IoP) represents a valid approach to include the social aspect. Following an IoP perspective, we believe that the knowledge of social multiplex interactions and dynamics could drive more sustainable growth. By merging this with the Device-to-Device communication (D2D), we originate a new paradigm presented in this work. We propose a novel bio-inspired approach for quantifying the impact of the social multiplex structure on D2D contents' dissemination. Through rigorous mathematical modelling, we have shaped the D2D data dissemination process as a social contagion dynamics of two co-evolving spreading processes. We weigh the dynamic interactions by including the concepts of homophily and awareness. We have measured the effect of homophily, awareness and network heterogeneity on information diffusion. The bio-inspired mechanism is evaluated through a rigorous mathematical and algorithm analysis, and a meaningful simulation. We show that this mechanism is effective in tuning network awareness and alertness, breaking the "echo chambers" effect. Through our model, we have defined and proposed the guidelines to discriminate the nature of the contents based on contents' dissemination.

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Combining evolutionary game theory and network theory to analyze human cooperation patterns

Cited by 38 publications

References 54 publications

Quantifying the propagation of distress and mental disorders in social networks

Quantifying the propagation of distress and mental disorders in social networks

Knowledge Input or Not in the Dynamic Cooperation Behavior of Top Management Teams? From the Perspective of Knowledge Flow

A Multiplex Social Contagion Dynamics Model to Shape and Discriminate D2D Content Dissemination

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