Individual Strategy Update and Emergence of Cooperation in Social Networks

Roca, Carlos P.; Sánchez, Ángel; Cuesta, José A.

doi:10.1080/0022250x.2010.520830

Cited by 13 publications

(13 citation statements)

References 59 publications

(64 reference statements)

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“…We also run a regression to see whether the network type has an significant influence on the coordination outcome. The observations come from the "scale-free" and small-world 17 The findings are robust to an increase in size or an increase in average degree for "scale-free" networks; for small-world networks, the probability of relinking has a negative effect for more connected networks (average degree equal to 8). This seems to suggest that "hubs" are more important for moderately connected networks but end up being counter-productive for highly connected networks, i.e.…”

Section: Comparing "Scale-free" and Small-world Networkmentioning

confidence: 59%

“…17 We repeated the analysis in order to assess the effect of marginal changes in one of these parameters. We determine the effect of size by comparing the baseline situation (where size equals 200, average degree equals 6, and share of initial action P adopters equals 0.20) to two alternative situations where only the size of the network changes to 100 and 300.…”

Section: Time Taken To Achieve Efficient Coordinationmentioning

confidence: 99%

“…Santos et al [19] find that heterogeneity in the number of links makes efficient coordination more likely with a proportional imitation rule. Roca et al [17] report that while the coordination outcome depends on the strategy updating rule and on the type of network, generally speaking, network clustering favours efficient coordination. However, for the case of myopic best-responses, Roca et al [18] mention that the influence of the network is rather weak.…”

Section: Introductionmentioning

confidence: 99%

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Network Characteristics Enabling Efficient Coordination: A Simulation Study

et al. 2015

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Using data generated by extensive simulations of a process where individuals interact globally in a coordination game and iteratively imitate the action of the most successful individual in their local neighbourhood, we study the characteristics of the observation network and distribution of initial choices that facilitate (a speedy) convergence to efficient coordination. Knowing these characteristics is crucial when intervening in social network structures with the intention to nudge society to a socially preferred outcome. The most important factor appears to be the share of individuals that are initially seeded with the socially desirable action. Only for a small window of this share, other factors, including the degree distribution in the network and the segregation of individuals using similar actions, have an influence on the dynamic process of achieving efficient coordination. Moreover, networks possessing the properties of a scale-free network are more likely to yield an efficient outcome compared to small-world networks.

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Section: Comparing "Scale-free" and Small-world Networkmentioning

confidence: 59%

Section: Time Taken To Achieve Efficient Coordinationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Network Characteristics Enabling Efficient Coordination: A Simulation Study

et al. 2015

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“…In light of the fact that players are socially structured in the form of networks, it is natural to see the emergence of playing evolutionary games in networks [3,4,12,17,18,22]. According to different payoff matrices, games such as the prisoner's dilemma (PD) and the snowdrift dilemma (SD) are studied in structured populations in networks [1,3,12,43]. Recent years have witnessed a thread of the evolutionary MGN.…”

Section: Theory and Motivationmentioning

confidence: 99%

Dynamics of Cooperation in Minority Games in Alliance Networks

et al. 2018

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Alliance networks are the underlying structures of social systems in business, management, and society. The sustainability and dynamics of a social system rely on the structural evolutions of the topologies. Understanding the evolution sheds light on the dynamics and sustainability of a social system. Minority game models have been successfully applied across social science, economy, management, and engineering. They provide simple yet applicable modeling to articulate the evolutionary cooperation dynamics of competitive players in binary decision situations. By extending the minority games played in alliance networks, the cooperation in structured systems of different network topologies is analyzed. In this model, local and global score strategies are considered with and without cooperation rewiring options. The cooperation level, the score, and the topological properties are investigated. The research uses a numerical simulation approach on random networks, scale-free networks, and small-world networks. The results suggest that the network rewiring strategy leads to higher systemic performance with a higher score and a higher level of stability in decision-making. Competitive decision-making can lead to a higher level of cooperation from a poor initial start. However, stubbornness in decision-making can lead to a poor situation when cooperation is discouraged. Players with local or global information adopt local and global score strategies. The results show that local strategies might lead to imbalance, while a global strategy might achieve a relatively stable outcome. This work contributes to bridge minority games in structured networks to study the cooperation between formation and evolution, and calls for future minority game modeling on social networks.

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“…In this paper, we model and explore using simulation, the effect of users joining and leaving a social network, to understand how a critical mass affects both the success and failure of a social media platform. Social networks are of increasing importance to social science (Willer, ; Centola, ; Roca et al ., ) and to electronic commerce research in particular (Cortizo et al ., ; Liang and Turban, ) as services such as Facebook and Twitter have opened avenues for new business models (Liang et al ., ) something referred to as social commerce (Stephen and Toubia, ). According to a recent special issue on the topic, social commerce raises a variety of new questions for e‐commerce researchers and the field could become one of the most challenging research arenas in the coming decade (Liang and Turban, ).…”

Section: Critical Mass and Technology Adoptionmentioning

confidence: 99%

Critical Mass and Discontinued Use of Social Media

Chesney

Lawson

2013

Syst. Res.

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Using simulation, this study compares a critical mass of adopters with a critical mass of those who discontinue their adoption of social media. A network of reflex agents is simulated where each agent has an unchanging threshold and will adopt social media if the number of their friends who have adopted is greater than it. In the first study, the size of the critical mass that adopts is varied, and in the second, the size of the critical mass that discontinues use is varied. The studies show that a critical mass of leavers can cause a community to fail and that this mass can potentially be as small as that needed to influence a community to succeed; although given a certain critical mass, their leaving is less likely to cause failure than their adoption is success. This influence of the critical mass is facilitated by network structure.

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Individual Strategy Update and Emergence of Cooperation in Social Networks

Cited by 13 publications

References 59 publications

Network Characteristics Enabling Efficient Coordination: A Simulation Study

Network Characteristics Enabling Efficient Coordination: A Simulation Study

Dynamics of Cooperation in Minority Games in Alliance Networks

Critical Mass and Discontinued Use of Social Media

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