Evolution of Equity Norms in Small‐World Networks

Santos, José Ignacio; Poza, David; Galán, José Manuel; López-Paredes, Adolfo

doi:10.1155/2012/482481

Cited by 9 publications

(10 citation statements)

References 43 publications

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“…The literature research by [17], Tidd [18], Porter [19], Cooke [20], and Jos' e I. Santos [21] et al shows that the theory of collaborative innovation has experienced a development process from shallow to deep and from point to point, from the collaborative research that is limited to the innovation elements within the enterprise to the interfirm collaborative innovation system based on the industrial chain division and cooperation (industrial cluster innovation), and then to the breakthrough of conceptual boundary of "enterprise as the agents, the academic institutions, governments, and financial institutions are all auxiliary and paying equal attention to the heterogeneous role of various innovation agents, and, finally, forming a regional network innovation pattern centered on industry, study, and research. That is to say, collaborative innovation is developed from the innovation of industrial clusters, but, compared with the cluster innovation network, the collaborative innovation network has a clearer level of difference in terms of the types of knowledge information.…”

Section: Collaborative Innovation Network Evolution Conceptualmentioning

confidence: 99%

Evolutionary Model and Simulation Research of Collaborative Innovation Network: A Case Study of Artificial Intelligence Industry

Fang

Dai

Wang

2018

Discrete Dynamics in Nature and Society

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Based on integrating the fundamental attribute and the unique property of the collaborative innovation network, this paper establishes a collaborative innovation network model of Artificial Intelligence industry through depicting external stimulus conversion progresses and behaviors of network heterogeneous agents. Heterogeneous agents are the network elements of the model which regards the stimulus response as the evolutionary mechanism. Tencent is one of the largest Internet integrated service providers and one of the Internet companies with the largest number of service users in China, which has also set its sights on the development of the AI industry. Taking Tencent’s patent cooperation network in the field of Artificial Intelligence as an example and using system simulation method, we analyze the evolutionary law of the collaborative innovation network topology structure, the coupling evolution phenomenon of the knowledge and the network topology structure, distinct roles that agents play in the network, and relationship between the agents’ openness and the knowledge flow efficiency. We find the phenomenon of small world emergence more than once through the evolution of collaborative innovation network, whose degrees and reasons are also distinctive. There exists coupling evolution between the technological knowledge and the network structure. The collaborative innovation network is always oriented towards competitive industries. The agents’ openness has an essential influence on the lifting range of the technological knowledge. Strengthening the main position of enterprises in AI technological innovation and enhancing the degree of openness among heterogeneous agents are a powerful guarantee for improving the performance of collaborative innovation.

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Section: Collaborative Innovation Network Evolution Conceptualmentioning

confidence: 99%

Evolutionary Model and Simulation Research of Collaborative Innovation Network: A Case Study of Artificial Intelligence Industry

Fang

Dai

Wang

2018

Discrete Dynamics in Nature and Society

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“…However, the spatial structure of agents interaction is limited on lattice or grid [9]. Recently, Santos et al [10] extend Axtell's model to study the equity norm emergence on the small world network and the diffusion of equity norm.…”

Section: Introductionmentioning

confidence: 99%

Network Structure and the Emergence of Equity Norm in Nash Bargaining Game

Xianyu¹

2013

Proceedings of the 2nd International Conference on Management Science and Industrial Engineering (MSIE 2013)

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Abstract. Equity norm is an important feature in human society. The present paper studies the effects of different network structures on the emergence of equity norm when agents interact distributed on the complex networks. A revised Nash bargaining game is used to model the emergence of equity norm. This paper focusses whether equity strategy equilibrium can emerge and what effects the network structure plays in the spatial Nash bargaining game. The research results show that equity norm always emerges in the Nash bargaining game no matter what network structure agents are located on. The researches of the present paper reveal that network structure promotes the emergence of the equity regime while different networks have a significant effect on the evolution process.

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“…Networks (Hearnshaw & Wilson 2013), Socio-ecological Systems (Janssen et al 2006) and Social Economy (Poza et al 2011;Santos et al 2012).…”

Section: Applications Of Network Theorymentioning

confidence: 99%

A Framework to Study the Resilience of Organizations: A Case Study of a Nuclear Emergency Plan

Ruiz-Martín¹

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Nowadays, building resilience is a key topic in many research fields such as Management, Engineering, Psychology or Ecology. The frequency increase of natural and anthropogenic disasters and the consciousness about their effects are among the reasons why resilience has gained importance and Governments are investing money in boosting the resilience of organizations, infrastructure, cities, individuals, etc.However, there is not much research on specific methodologies to design resilient organizations. A main goal of our research is to improve this aspect providing a framework to design resilient organizations. We explain how to design resilient organizations based on the Viable System Model principles. Then, we focus on an important aspect for being resilient: the communications. We use as a case study a Nuclear Emergency Plan from Spain to show the applicability of our framework.Since the communications in an organization can be modeled as a diffusion process in multiplex networks, and we did not find any suitable architecture to study them in the context of our case study, the architecture we design in this thesis is generic and allows us to model and simulate any kind of diffusion process in a dynamic multiplex network.iii

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Evolution of Equity Norms in Small‐World Networks

Cited by 9 publications

References 43 publications

Evolutionary Model and Simulation Research of Collaborative Innovation Network: A Case Study of Artificial Intelligence Industry

Evolutionary Model and Simulation Research of Collaborative Innovation Network: A Case Study of Artificial Intelligence Industry

Network Structure and the Emergence of Equity Norm in Nash Bargaining Game

A Framework to Study the Resilience of Organizations: A Case Study of a Nuclear Emergency Plan

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