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Deterministic scale-free networks [PDF]
Physica A: Statistical Mechanics and Its Applications, 2001 Scale-free networks are abundant in nature and society, describing such diverse systems as the world wide web, the web of human sexual contacts, or the chemical network of a cell. All models used to generate a scale-free topology are stochastic, that is they create networks in which the nodes appear to be randomly connected to each other.
Albert-László Barabási +1 more
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Exactly scale-free scale-free networks [PDF]
Physica A: Statistical Mechanics and Its Applications, 2015 Many complex natural and physical systems exhibit patterns of interconnection that conform, approximately, to a network structure referred to as scale-free. Preferential attachment is one of many algorithms that have been introduced to model the growth and structure of scale-free networks.
Linjun Zhang +2 more
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Scientific American, 2003
A discussion on scale-free networks was presented. The characteristics of scale-free networks were presented. It was found that scale-free networks were robust against accidental failures but vulnerable to coordinated attacks. The applications of scale-free networks in different fields were discussed.
Barabási, Albert László +1 more
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A discussion on scale-free networks was presented. The characteristics of scale-free networks were presented. It was found that scale-free networks were robust against accidental failures but vulnerable to coordinated attacks. The applications of scale-free networks in different fields were discussed.
Barabási, Albert László +1 more
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How Scale-Free Are Biological Networks
Journal of Computational Biology, 2006 The concept of scale-free network has emerged as a powerful unifying paradigm in the study of complex systems in biology and in physical and social studies. Metabolic, protein, and gene interaction networks have been reported to exhibit scale-free behavior based on the analysis of the distribution of the number of connections of the network nodes. Here
Raya Khanin, Ernst C Wit
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Consensus on scale-free network
2008 American Control Conference, 2008In this paper, we study the consensus on scale-free network, which is known as more robust and immune to the random mutation and perturbation than (binomial) random network. The underlying dynamics of system is derived from a discrete random process by averaging the state of agents weighted by agent degree.
Hua Wang 0002, Yi Guo 0004
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Revisiting “scale-free” networks
BioEssays, 2005Recent observations of power-law distributions in the connectivity of complex networks came as a big surprise to researchers steeped in the tradition of random networks. Even more surprising was the discovery that power-law distributions also characterize many biological and social networks. Many attributed a deep significance to this fact, inferring a
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2011
The relevance of scale-free networks to represent real-world networks was underlined by the work of Barabasi and Albert in 1999 (Barabasi and Albert 1999), in which they examined the structure of a number of large networks like the Internet and the coauthorship network between scientists. They showed that these networks follow a power-law distribution,
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The relevance of scale-free networks to represent real-world networks was underlined by the work of Barabasi and Albert in 1999 (Barabasi and Albert 1999), in which they examined the structure of a number of large networks like the Internet and the coauthorship network between scientists. They showed that these networks follow a power-law distribution,
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On synchronization of scale-free dynamical networks
ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004., 2005Recent advances in complex network research have stimulated increasing interest in understanding the relationship between the topology and dynamics of complex networks. In this work, we investigate the synchronizability of a class of continuous-time dynamical networks with two kinds of scale-free topologies.
Jin Fan, Xiao Fan Wang 0001
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