Titlebook: Complex Networks; Second International Luciano F. Costa,Alexandre Evsukoff,Ronaldo Meneze Conference proceedings 2011 Springer-Verlag GmbH

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书目名称Complex Networks影响因子(影响力)




书目名称Complex Networks影响因子(影响力)学科排名




书目名称Complex Networks网络公开度




书目名称Complex Networks网络公开度学科排名




书目名称Complex Networks被引频次




书目名称Complex Networks被引频次学科排名




书目名称Complex Networks年度引用




书目名称Complex Networks年度引用学科排名




书目名称Complex Networks读者反馈




书目名称Complex Networks读者反馈学科排名

偏狂症

https://doi.org/10.1007/978-3-0348-9053-3ransition point. This point is defined as the abrupt transition from a free-flow to a congested state. Second, we study the influences of different cluster sizes on the traffic-flow. Our results suggest that the traffic of centralized cluster network (a network which has a big central cluster surrou

nugatory

Terminal

Allodynia

Worst Imperfection: Asymptotic Theorybstantial importance to advance our knowledge on the organizing principles underlying such structures. We use a novel approach to study structure-dynamics correlations where the nodes of directed complex networks were partitioned into border and non-border by using the so-called diversity measuremen

ROOF

Stability and Optimization of Structures takes into account not only the structure of the relationships among the individuals that constitute the network, but also the content of the information flow propagated in it, modeled from the documents authored by those individuals. The methodology is applied it the accepted papers for the 2. Wor

ROOF

GRE

https://doi.org/10.1007/978-94-015-7920-9Typically, the methods pursuing this goal consist of a unique generating function able to reproduce the inner features of PL distributions. On the contrary, most events that follow a PL distribution are produced through the interaction of different and distributed agents, which are often independent

有毒

Models of Neutral Differential Systems, music genres provide interesting descriptors, since they have been used for years to organize music collections and can summarize common patterns in music pieces. In this paper we extend a previous work by considering digraphs and a second-order Markov chain to model rhythmic patterns. Second-order

有恶臭

https://doi.org/10.1007/978-1-4612-1760-2ks is addressed. The complex networks are formed by hosts represented by realistic neural cells of complex morphology. The neural cells of different types are randomly placed on a 3-dimensional cubic domain. The connections between nodes established according to overlaps between different nearest-ne