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论文/程序题目 作者 下载 主要内容介绍 Hits
人类大脑皮层的结构核心
林枫   关于大脑皮层结构的网络研究 1203
Scaling theory for information networks
Melanie E. Moses,Stephanie Forrest   Networks distribute energy, materials and information to the components of a variety of natural and human-engineered systems, including organisms, brains, the Internet and microprocessors. Distribution networks enable the integrated and coordinated functioning of these systems, and they also constrain their design. The similar hierarchical branching networks observed in organisms and microprocessors are striking, given that the structure of organisms has evolved via natural selection, while microprocessors are designed by engineers. Metabolic scaling theory (MST) shows that the rate at which networks deliver energy to an organism is proportional to its mass raised to the 3/4 power. We show that computational systems are also characterized by nonlinear network scaling and use MST principles to characterize how information networks scale, focusing on how MST predicts properties of clock distribution networks in microprocessors. The MST equations are modified to account for variation in the size and density of transistors and terminal wires in microprocessors. Based on the scaling of the clock distribution network, we predict a set of trade-offs and performance properties that scale with chip size and the number of transistors. However, there are systematic deviations between power requirements on microprocessors and predictions derived directly from MST. These deviations are addressed by augmenting the model to account for decentralized flow in some microprocessor networks (e.g. in logic networks). More generally, we hypothesize a set of constraints between the size, power and performance of networked information systems including transistors on chips, hosts on the Internet and neurons in the brain. 936
电子书:点—线—网:自然、人文、经济的网络观与实践
林枫   本书采用通俗的写作手法,深入浅出地介绍了复杂网络、分形、复杂系统、动力系统等概念,并就它们在生命科学、经济科学等领域中的应用进行了广泛的探讨。作者是一名从事康复医学工作的研究生,却能够通晓古今、旁征博引,最终独立完成这本书的写作。 7120
A Survey of Peer-to-Peer File Sharing Technologies
Stephanos Androutsellis-Theotokis   In the recent years, the evolution of a new wave of innovative network architectures labeled “peer-to-peer (p2p)” has been witnessed. Such architectures and systems are characterized by direct access between peer computers, rather than through a centralized server. The recently formed Peer-to-Peer Working Group, a consortium including industry leaders aiming at the advancement of infrastructures and bestknown practices for peer-to-peer computing, defines p2p as the “sharing of computer resources by direct exchange”. Apart from resources, p2p offers a way of decentralizing administration (as well as cost). 948
Adaptive Coevolutionary Networks – A Review
Thilo Gross   适应网络:近年发展出来的一种模拟复杂系统的较新的方法或工具 1279
Energy Flows and Maximum Power on an Evolutionary Ecological Network Model
Jiang Zhang   通过对食物网上的种群动力学建立微分方程模型,我们可以讨论整体网络上的功率:即能量流总量。按照一个简单的算法演化这个食物网络使得模型可以探讨物种多样性和能量总流量之间的关系。主要结论是:在通常情况下,能量流和物种多样性呈现正相关关系。 1166
Graph Theory and the Evolution of Autocatalytic Networks
Sanjay Jain,Sandeep Krishna   We give a self-contained introduction to the theory of directed graphs, leading up to the relationship between the Perron-Frobenius eigenvectors of a graph and its autocatalytic sets. Then we discuss a particular dynamical system on a fixed but arbitrary graph, that describes the population dynamics of species whose interactions are determined by the graph. The attractors of this dynamical system are described as a function of graph opology. Finally we consider a dynamical system in which the graph of interactions of the species coevolves with the populations of the species. We show that this system exhibits complex dynamics including self-organization of the network by autocatalytic sets, growth of complexity and structure, and collapse of the network followed by recoveries. We argue that a graph theoretic classification of perturbations of the network is helpful in predicting the future impact of a perturbation over short and medium time scales. 1212
Large extinctions in an evolutionary model: The role of innovation and keystone species
Sanjay Jain,Sandeep Krishna   The causes of major and rapid transitions observed in biological macroevolution as well as in the evolution of social systems are a subject of much debate. Here we identify the proximate causes of crashes and recoveries that arise dynamically in a model system in which populations of (molecular) species coevolve with their network of chemical interactions. Crashes are events that involve the rapid extinction of many species, and recoveries the assimilation of new ones. These are analyzed and classified in terms of the structural properties of the network. We find that in the absence of large external perturbation, ‘‘innovation’’ is a major cause of large extinctions and the prime cause of recoveries. Another major cause of crashes is the extinction of a ‘‘keystone species.’’ Different classes of causes produce crashes of different characteristic sizes. 892
复杂网络
  3595
PPT:The Structure and Dynamics of Social, Biological, and Technological Networks: A Complex Systems Approach
Girvan   一份较好的介绍复杂网络的幻灯片 5961
从开放的复杂巨系统来看Internet中的大范围模式
张家才,周登勇   Internet 作为一个开放的复杂巨系统其大范围模式的研究引起了人们的极大兴趣本文综合介绍了Internet 在网络拓扑结构业务量以及WWW 组织等方面呈现出来的Power-law分布特性以及用户冲浪过程中很强的规律性并采用国内外学者的一些模型实验和理论试探性地分析了这些大范围模式中的起源最后介绍了Internet 中这些大范围模式的研究及其成果在网络安全电子商务以及其它复杂系统研究等方面的一些应用 2576
Evolution of networks
S.N. Dorogovtsev,J.F.F. Mendes   本文全面的介绍了复杂网络理论,并且详细介绍了如何用统计力学的方法研究复杂网络、复杂网络演化的动态结果等等。 2633
The structure and function of complex networks
M. E. J. Newman   本文清晰的介绍了复杂网络近年来的发展,是一篇很好的综述性文章 3047
Collective dynamics of "small-world" networks
Duncan J. Watts,Steven H. Strogatz   本文介绍了一类称为“小世界网络”的社会网络模型。这种网络被认为普遍存在于人类社会、神经网络、细胞体中。并且,该中网络具有一种被称为“六度分离”的奇妙性质。 2429
The structure of growing social networks
Emily M. Jin,Michelle Girvan   本文介绍了社会网络的增长模型以及计算机仿真方法 2007
  
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