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We introduce a stochastic model to explain a double power-law distribution which exhibits two different Paretian behaviors in the upper and the lower tail and widely exists in social and economic systems. The model incorporates fitness…

物理与社会 · 物理学 2011-04-25 D. D. Han , J. H. Qian , Y. G. Ma

Although recent studies show that both topological structures and human dynamics can strongly affect information spreading on social networks, the complicated interplay of the two significant factors has not yet been clearly described. In…

物理与社会 · 物理学 2012-03-07 Xiao-Ke Xu , Jian-Bo Wang , Ye Wu , Michael Small

Multilayer networks are the underlying structures of multiple real-world systems where we have more than one type of interaction/relation between nodes: social, biological, computer, or communication, to name only a few. In many cases, they…

社会与信息网络 · 计算机科学 2021-03-15 Piotr Bródka , Jarosław Jankowski , Radosław Michalski

Complex contagions describe systems where the probability or rate of contagious transmission is a nonlinear function of the exposure to contagious agents. These models were first studied theoretically but have since been used to capture…

Lifetime distributions of social entities, such as enterprises, products, and media contents, are one of the fundamental statistics characterizing the social dynamics. To investigate the lifetime distribution of mutually interacting…

物理与社会 · 物理学 2015-08-20 Yohsuke Murase , Takashi Shimada , Nobuyasu Ito , Per Arne Rikvold

Several populational networks present complex topologies when implemented in evolutionary algorithms. A common feature of these topologies is the emergence of a power law. Power law behavior with different scaling factors can also be…

统计计算 · 统计学 2022-03-08 Francisco Leonardo Bezerra Martins , José Cláudio do Nascimento

Piecewise-linear maps describe dynamical phenomena that switch between distinct states and readily generate complex bifurcation structures due to their strong nonlinearity. We show that two-dimensional continuous piecewise-linear maps near…

动力系统 · 数学 2025-12-03 D. J. W. Simpson , V. Avrutin

this article illustrates the use of linear and bilinear random effects models to represent statistical dependencies that often characterize dyadic data such as international relations. In particular, we show how to estimate models for…

应用统计 · 统计学 2008-01-14 S. Alimoradi , M. Khalilian

Power-law distributions with various exponents are studied. We first introduce a simple and generic model that reproduces Zipf's law. We can regard this model both as the time evolution of the population of cities and that of the asset…

统计力学 · 物理学 2007-05-23 Kenji Kawamura , Naomichi Hatano

Kauffman net is a dynamical system of logical variables receiving two random inputs and each randomly assigned a boolean function. We show that the attractor and transient lengths exhibit scaleless behavior with power-law distributions over…

凝聚态物理 · 物理学 2007-05-23 Amartya Bhattacharjya , Shoudan Liang

Interpretation of empirical results based on a taxa's lifetime distribution shows apparently conflicting results. Species' lifetime is reported to be exponentially distributed, whereas higher order taxa, such as families or genera, follow a…

种群与进化 · 定量生物学 2009-11-11 S. Pigolotti , A. Flammini , M. Marsili , A. Maritan

In this second part of our survey on the social and natural distributions, we investigate some models, which intend to explain the statistical regularity of the natural and social distributions. There is a large variety of models and in…

物理与社会 · 物理学 2016-07-05 L. Benguigui , M. Marinov

Recently it has been observed that the bivariate generalized linear failure rate distribution can be used quite effectively to analyze lifetime data in two dimensions. This paper introduces a more general class of bivariate distributions.…

应用统计 · 统计学 2015-08-06 Rasool Roozegar , Ali Akbar Jafari

Real social contacts are often intermittent such that a link between a pair of nodes in a social network is only temporarily used. Effects of such temporal networks on social dynamics have been investigated for several phenomenological…

社会与信息网络 · 计算机科学 2014-08-26 Ryosuke Nishi , Naoki Masuda

Social structures emerge as a result of individuals managing a variety of different of social relationships. Societies can be represented as highly structured dynamic multiplex networks. Here we study the dynamical origins of the specific…

物理与社会 · 物理学 2016-09-21 Peter Klimek , Marina Diakonova , Victor Eguiluz , Maxi San Miguel , Stefan Thurner

We show that the Zipf's law for Chinese characters perfectly holds for sufficiently short texts (few thousand different characters). The scenario of its validity is similar to the Zipf's law for words in short English texts. For long…

计算与语言 · 计算机科学 2014-03-10 W. B. Deng , A. E. Allahverdyan , B. Li , Q. A. Wang

In this work, the topologies of networks constructed from time series from an underlying system undergo a period doubling cascade have been explored by means of the prevalence of different motifs using an efficient computational motif…

混沌动力学 · 物理学 2014-06-19 Ruoxi Xiang , Michael Small

A model based on first-degree family relations network is used to describe the wealth distribution in societies. The network structure is not a-priori introduced in the model, it is generated in parallel with the wealth values through…

其他凝聚态物理 · 物理学 2009-11-10 R. Coelho , Z. Neda , J. J. Ramasco , M. A. Santos

The concept of structured occurrence nets is an extension of that of occurrence nets which are directed acyclic graphs that represent causality and concurrency information concerning a single execution of a distributed system. The formalism…

分布式、并行与集群计算 · 计算机科学 2024-01-17 Mohammed Alahmadi , Salma Alharbi , Talal Alharbi , Nadiyah Almutairi , Tuwailaa Alshammari , Anirban Bhattacharyya , Maciej Koutny , Bowen Li , Brian Randell

Power law distributions have been repeatedly observed in a wide variety of socioeconomic, biological and technological areas. In many of the observations, e.g., city populations and sizes of living organisms, the objects of interest evolve…

概率论 · 数学 2009-09-29 Predrag R. Jelenkovic , Jian Tan
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