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Externalities and peer effects of collective adoption in networks

机译:集体采用在网络中的外部性和对等效应

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Analyzing complex system with independent sub system is a difficult problem. Socio-technical phenomena are among these type of problems. In the past two decades, agent based modeling and simulation played a significant role in our understanding of complex emergent socio-technical phenomena. Several problems such as adoption of new technology, diffusion of contagious disease and social networks have been explored by using ABMs. One of the major question is with regards to collective outcomes. We believe that collective actions and phenomenon such as mob mentality are harmonized results of peer pressure effect and network externalities effect. In many studies the emphasize is on gauging the equilibrium state. The relaxation time as factor ruling the time gap between each transition is missing in almost all analysis. We try to explore the possibility of combo effect and measure the time to reach consensus in the system. We show that the consensus time depends on network structure and strength of each effect.
机译:分析具有独立子系统的复杂系统是一个难题。社会技术现象是这些问题的问题。在过去的二十年中,基于代理的建模和模拟在我们对复杂的新兴社会技术现象的理解中起着重要作用。使用ABMS探讨了采用新技术,传染病和社交网络的扩散等几个问题。其中一个主要问题是关于集体成果。我们认为,集体行动和诸如暴虐心态的现象是同行压力效应和网络外部性效应的统一结果。在许多研究中,强调正在衡量均衡状态。在几乎所有分析中缺少每个转换之间的时间间隙的休闲时间。我们试图探索组合效应的可能性,并测量系统中达成共识的时间。我们表明共识时间取决于每种效果的网络结构和强度。

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