Author
Stefano Boccaletti
Other affiliations: King Juan Carlos University, Istituto Nazionale di Fisica Nucleare, East China Normal University ...read more
Bio: Stefano Boccaletti is an academic researcher from Moscow Institute of Physics and Technology. The author has contributed to research in topics: Complex network & Synchronization (computer science). The author has an hindex of 60, co-authored 348 publications receiving 25776 citations. Previous affiliations of Stefano Boccaletti include King Juan Carlos University & Istituto Nazionale di Fisica Nucleare.
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TL;DR: In this article, it was shown that phase oscillators couple to their mean field according to their natural frequencies, being then grouped into two distinct populations of conformists and contrarians.
Abstract: Two decades ago, a phenomenon resembling Landau damping was described in the synchronization of globally coupled oscillators: the evidence of a regime where the order parameter decays when linear theory predicts neutral stability for the incoherent state. We here show that such an effect is far more generic, as soon as phase oscillators couple to their mean field according to their natural frequencies, being then grouped into two distinct populations of conformists and contrarians. We report the analytical solution of this latter situation, which allows determining the critical coupling strength and the stability of the incoherent state, together with extensive numerical simulations that fully support all theoretical predictions. The relevance of our results is discussed in relationship to collective phenomena occurring in polarized social systems.
TL;DR: In this paper, the authors report experimental evidence of temporal coexistence and alternation of patterns having different scales in a nonlinear optical system formed by a Kerr-like medium with feedback.
Abstract: We report experimental evidence of temporal coexistence and alternation of patterns having different scales in a nonlinear optical system formed by a Kerr-like medium with feedback. Time coexistence occurs via spatial segregation of the different patterns in different domains, separated by topological defects. A simple theoretical model yields predictions in good agreement with the experimental results.
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TL;DR: In this article, the authors propose a new measure of node's centrality, which is no longer a scalar value, but a vector with dimension one lower than the highest order of interaction in the graph.
Abstract: Identifying the most influential nodes in networked systems is vital to optimize their function and control. Several scalar metrics have been proposed to that effect, but the recent shift in focus towards higher-order networks has rendered them void of performance guarantees. We propose a new measure of node's centrality, which is no longer a scalar value, but a vector with dimension one lower than the highest order of interaction in the graph. Such a vectorial measure is linked to the eigenvector centrality for networks containing only pairwise interactions, whereas it has a significant added value in all other situations where interactions occur at higher-orders. In particular, it is able to unveil different roles which may be played by a same node at different orders of interactions, an information which is impossible to be retrieved by single scalar measures.
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TL;DR: In this article, the authors present an analytical approach which is based on a graphical notation that allows rewriting Jacobi's signature criterion in an interpretable form, which pertains to topological structures on all scales, ranging from individual nodes to the interaction network as a whole.
Abstract: The central theme of complex systems research is understanding the emergent macroscopic properties of a system from the interplay of its microscopic constituents. Here, we ask what conditions a complex network of microscopic dynamical units has to meet to permit stationary macroscopic dynamics, such as stable equilibria or phase-locked states. We present an analytical approach which is based on a graphical notation that allows rewriting Jacobi's signature criterion in an interpretable form. The derived conditions pertain to topological structures on all scales, ranging from individual nodes to the interaction network as a whole. Our approach can be applied to many systems of symmetrically coupled units. For the purpose of illustration, we consider the example of synchronization, specifically the (heterogeneous) Kuramoto model and an adaptive variant. Moreover, we discuss how the graphical notation can be employed to study isospectrality in Hermitian matrices. The results complete and extend the previous analysis of Do et al. [Phys. Rev. Lett. 108, 194102 (2012)].
01 Jan 1996
TL;DR: This chapter illustrates that the interband dynamics implies both competitive deterministic terms as well as a stochastic force modeling defect nucleation in passive optical systems of optical morphogenesis.
Abstract: Publisher Summary This chapter delineates dynamics of patterns in passive optical systems of optical morphogenesis. Morphogenesis enters as a “biological” term. It applies to chemical instabilities by Turing who referred to it as the spontaneous birth of concentration shapes in a two (or more) component reaction-diffusion system. Thus, the concept of shape or form can be associated with a specific indicator (correlations), whereas the concept of pattern implies the imitation or modeling. Hence, the pattern is appropriate in a process where something is copied as in biology or in the textile industry. Moreover, in optics spontaneous pattern formation has been recently called optical morphogenesis. This chapter illustrates that the interband dynamics implies both competitive deterministic terms as well as a stochastic force modeling defect nucleation. In fact, a better model, rather than relying on a noise source, should account for the deterministic character of the underlying dynamics. However, it has become customary, in many-mode dynamics, to account for the perturbation that the modes below threshold induce on the modes already unstable in terms of a suitable noise source.
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Journal Article•
28,685 citations
28 Jul 2005
TL;DR: PfPMP1）与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。
18,940 citations
01 Jan 2006
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.
10,141 citations
TL;DR: This article reviews studies investigating complex brain networks in diverse experimental modalities and provides an accessible introduction to the basic principles of graph theory and highlights the technical challenges and key questions to be addressed by future developments in this rapidly moving field.
Abstract: Recent developments in the quantitative analysis of complex networks, based largely on graph theory, have been rapidly translated to studies of brain network organization. The brain's structural and functional systems have features of complex networks--such as small-world topology, highly connected hubs and modularity--both at the whole-brain scale of human neuroimaging and at a cellular scale in non-human animals. In this article, we review studies investigating complex brain networks in diverse experimental modalities (including structural and functional MRI, diffusion tensor imaging, magnetoencephalography and electroencephalography in humans) and provide an accessible introduction to the basic principles of graph theory. We also highlight some of the technical challenges and key questions to be addressed by future developments in this rapidly moving field.
9,700 citations