scholarly journals Dynamics of Cooperation in Minority Games in Alliance Networks

2018 ◽  
Vol 10 (12) ◽  
pp. 4746 ◽  
Author(s):  
Xin-Jie Zhang ◽  
Yong Tang ◽  
Jason Xiong ◽  
Wei-Jia Wang ◽  
Yi-Cheng Zhang

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.

2003 ◽  
Vol 9 (4) ◽  
pp. 343-356 ◽  
Author(s):  
Marco A. Janssen ◽  
Wander Jager

Markets can show different types of dynamics, from quiet markets dominated by one or a few products, to markets with continual penetration of new and reintroduced products. In a previous article we explored the dynamics of markets from a psychological perspective using a multi-agent simulation model. The main results indicated that the behavioral rules dominating the artificial consumer's decision making determine the resulting market dynamics, such as fashions, lock-in, and unstable renewal. Results also show the importance of psychological variables like social networks, preferences, and the need for identity to explain the dynamics of markets. In this article we extend this work in two directions. First, we will focus on a more systematic investigation of the effects of different network structures. The previous article was based on Watts and Strogatz's approach, which describes the small-world and clustering characteristics in networks. More recent research demonstrated that many large networks display a scale-free power-law distribution for node connectivity. In terms of market dynamics this may imply that a small proportion of consumers may have an exceptional influence on the consumptive behavior of others (hubs, or early adapters). We show that market dynamics is a self-organized property depending on the interaction between the agents' decision-making process (heuristics), the product characteristics (degree of satisfaction of unit of consumption, visibility), and the structure of interactions between agents (size of network and hubs in a social network).


Author(s):  
Vasiliki G. Vrana ◽  
Dimitrios A. Kydros ◽  
Evangelos C. Kehris ◽  
Anastasios-Ioannis T. Theocharidis ◽  
George I. Kavavasilis

Pictures speak louder than words. In this fast-moving world where people hardly have time to read anything, photo-sharing sites become more and more popular. Instagram is being used by millions of people and has created a “sharing ecosystem” that also encourages curation, expression, and produces feedback. Museums are moving quickly to integrate Instagram into their marketing strategies, provide information, engage with audience and connect to other museums Instagram accounts. Taking into consideration that people may not see museum accounts in the same way that the other museum accounts do, the article first describes accounts' performance of the top, most visited museums worldwide and next investigates their interconnection. The analysis uses techniques from social network analysis, including visualization algorithms and calculations of well-established metrics. The research reveals the most important modes of the network by calculating the appropriate centrality metrics and shows that the network formed by the museum Instagram accounts is a scale–free small world network.


2008 ◽  
Vol 22 (05) ◽  
pp. 553-560 ◽  
Author(s):  
WU-JIE YUAN ◽  
XIAO-SHU LUO ◽  
PIN-QUN JIANG ◽  
BING-HONG WANG ◽  
JIN-QING FANG

When being constructed, complex dynamical networks can lose stability in the sense of Lyapunov (i. s. L.) due to positive feedback. Thus, there is much important worthiness in the theory and applications of complex dynamical networks to study the stability. In this paper, according to dissipative system criteria, we give the stability condition in general complex dynamical networks, especially, in NW small-world and BA scale-free networks. The results of theoretical analysis and numerical simulation show that the stability i. s. L. depends on the maximal connectivity of the network. Finally, we show a numerical example to verify our theoretical results.


2015 ◽  
Vol 29 (32) ◽  
pp. 1550234
Author(s):  
Yunhua Liao ◽  
Xiaoliang Xie

The lattice gas model and the monomer-dimer model are two classical models in statistical mechanics. It is well known that the partition functions of these two models are associated with the independence polynomial and the matching polynomial in graph theory, respectively. Both polynomials have been shown to belong to the “[Formula: see text]-complete” class, which indicate the problems are computationally “intractable”. We consider these two polynomials of the Koch networks which are scale-free with small-world effects. Explicit recurrences are derived, and explicit formulae are presented for the number of independent sets of a certain type.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Xiuwen Fu ◽  
Yongsheng Yang ◽  
Haiqing Yao

Previous research of wireless sensor networks (WSNs) invulnerability mainly focuses on the static topology, while ignoring the cascading process of the network caused by the dynamic changes of load. Therefore, given the realistic features of WSNs, in this paper we research the invulnerability of WSNs with respect to cascading failures based on the coupled map lattice (CML). The invulnerability and the cascading process of four types of network topologies (i.e., random network, small-world network, homogenous scale-free network, and heterogeneous scale-free network) under various attack schemes (i.e., random attack, max-degree attack, and max-status attack) are investigated, respectively. The simulation results demonstrate that the rise of interference R and coupling coefficient ε will increase the risks of cascading failures. Cascading threshold values Rc and εc exist, where cascading failures will spread to the entire network when R>Rc or ε>εc. When facing a random attack or max-status attack, the network with higher heterogeneity tends to have a stronger invulnerability towards cascading failures. Conversely, when facing a max-degree attack, the network with higher uniformity tends to have a better performance. Besides that, we have also proved that the spreading speed of cascading failures is inversely proportional to the average path length of the network and the increase of average degree k can improve the network invulnerability.


2013 ◽  
Vol 110 (10) ◽  
Author(s):  
Ralph Stoop ◽  
Victor Saase ◽  
Clemens Wagner ◽  
Britta Stoop ◽  
Ruedi Stoop

Author(s):  
Alexander A. Somkin

Introduction. The paper analyzes the specificity of the dialectical development of the integrated social systems of such a personality and society. The presence of positive (natural) contradictions is recognized as a necessary and creative factor in social practice. Under the influence of this type of contradiction, the old, outdated forms of social structure (individual components of the social system) are denied and transformed to new, more perfect ones occurs as a result of their successful resolution. Methods. In the analysis, the author relied on a system-holistic approach, traditional general philosophical methods: induction and deduction, theoretical analysis and synthesis, extrapolation, etc. Discussion. The social system as an integrated unity goes through a number of stages from inception, formation and maturity to the transition to a qualitatively new state. Accordingly, the process of the emergence and development of dialectical contradictions also has several stages: from insignificant differences between opposite sides at the beginning of the emergence of the system to their strengthening and exacerbation. The nature of the contradictions depends on the specifics of the opposing sides, as well as on the conditions in which their interaction unfolds. The determining factor here, in the opinion of the author, is the positive (natural) direction of social opposition, under the influence of which the essence of the contradictions themselves is formed. Conclusion. According to the dialectical approach, the source of social development is the unity and struggle of opposites within the social system. However, the presence of opposite sides is a necessary but insufficient condition for development. They create the preconditions for it, but do not act as its driving force. Only a change in one opposition relative to another creates alternative tension, giving rise to a dialectical contradiction. Therefore, the antagonistic or non-antagonistic character of the latter is due to the positive (natural) or negative character of the social opposition itself.


10.6036/10173 ◽  
2021 ◽  
Vol 96 (4) ◽  
pp. 335-337
Author(s):  
JUAN AURELIO TAMAYO ◽  
JAVIER GAMERO ROJAS ◽  
JUAN ANTONIO MARTINEZ ROMAN ◽  
MARIA DE LORETO DELGADO GONZALEZ

A measure is proposed to estimate the degree of digital transformation of a social system that could be applied to different units of analysis: the organization, the industrial sector or society. The measure contemplates the existence of classic (non-digital) social systems, a transition stage and the transformation towards the digital social system. An estimate of the percentage of people who have made purchases over the Internet has been used to estimate the degree of digital transformation of different territories, regions and countries included in the INE and Eurostat statistics. The initially proposed function can serve as a basis to include panels of indicators or multiple parameters that diagnose other relevant aspects of society and the economy. In general, the measure could be useful to assess the transition and evolution of different types of systems.


2021 ◽  
Vol 48 (1) ◽  
pp. 80-88
Author(s):  
Alexander N. Chumakov

Abstract The article analyzes the main parameters of the modern world development, its architectonics and the most important development trends. Modern communications and principles of interaction of various social systems are also considered. As a result, the most significant cultural-cum-civilizational systems are distinguished – the West, China, the Islamic world and Russia, which represent four global trends or four vectors of power that fundamentally affect the current state and prospects of world development. It is emphasized that the West and China have a global strategy, provided by objective circumstances. The Islamic world and Russia occupy an important geopolitical position and also have a special status in the global world.


Fractals ◽  
2019 ◽  
Vol 27 (02) ◽  
pp. 1950010
Author(s):  
DAOHUA WANG ◽  
YUMEI XUE ◽  
QIAN ZHANG ◽  
MIN NIU

Many real systems behave similarly with scale-free and small-world structures. In this paper, we generate a special hierarchical network and based on the particular construction of the graph, we aim to present a study on some properties, such as the clustering coefficient, average path length and degree distribution of it, which shows the scale-free and small-world effects of this network.


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