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arXiv 1010.5441cond-mat.stat-mechcond-mat.dis-nn
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非均匀随机图上的相变:一些实例研究

Phase transitions on heterogeneous random graphs: some case studies

Daniele De Martino

摘要:

本论文的重点是异质随机图的统计力学,即异质性如何影响模型系统的合作行为。它并不打算作为一个审查,而是显示了这个问题是如何自然出现的,并可以提供有用的见解,以具体的情况。第一章是关于排队网络拥塞的统计力学。第二部分致力于研究无序结构上易化自旋模型的玻璃态动力学。在第三章中,我们指出了非均匀随机图上三临界自旋系统中逆相变的存在。最后,最后一章是关于波动性在社交网络演化中的作用。在结论中,给出了关于异质随机图的结构和动力学之间的相互作用的一般见解。它是基于不同的缩放的过渡点的度分布的时刻连续和不连续的过渡,分别。

英文摘要:

The focus of this thesis is about statistical mechanics on heterogeneous random graphs, i.e. how this heterogeneity affects the cooperative behavior of model systems. It is not intended as a review on it, rather it is showed how this question emerges naturally and can give useful insights to specific instances. The first chapter is about the statistical mechanics of congestion in queuing networks. The second is devoted to the study of the glassy dynamics of facilitated spin models on disordered structures. In the third chapter, the presence of inverse phase transitions in tri-critical spin systems on heterogeneous random graphs is pointed out. Finally, the last chapter is on the role of volatility in the evolution of social networks. In the conclusions, a general insight about the interplay between structure and dynamics on heterogeneous random graphs is given. It is based on the different scaling of the transition point with the moments of the degree distribution for continuous and discontinuous transitions, respectively.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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