Results 11 to 20 of about 160,015 (295)
Journal of High Energy Physics, 2019 We find and propose an explanation for a large variety of modularity-related symmetries in problems of 3-manifold topology and physics of 3d N $$ \mathcal{N} $$ = 2 theories where such structures a priori are not manifest.
Miranda C.N. Cheng +4 more
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Longitudinal modularity, a modularity for link streams
EPJ Data ScienceTemporal networks are commonly used to model real-life phenomena. When these phenomena represent interactions and are captured at a fine-grained temporal resolution, they are modeled as link streams.
Victor Brabant +4 more
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Physical Review Letters, 2011 We introduce and discuss the concept of modular entanglement. This is the entanglement that is established between the end points of modular systems composed by sets of interacting moduli of arbitrarily fixed size. We show that end-to-end modular entanglement scales in the thermodynamic limit and rapidly saturates with the number of constituent moduli.
Giulia Gualdi +2 more
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Modularizing constructors. [PDF]
The Journal of Object Technology, 2007 n ...
BONO, Viviana, J. KUS'MIEREK
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Physical Review D, 1995 An exploratory study of the cosmology of moduli in string theory. Moduli are argued to be natural inflaton fields and lead to a robust inflationary cosmology in which inflation takes place at the top of domain walls. The amplitude of microwave background fluctuations constrains the dynamics responsible for inflation to take place at a higher scale than
Banks, T. +4 more
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Modular Forms on Hecke's Modular Groups [PDF]
Proceedings of the American Mathematical Society, 1973 Let H={-r=x+iy:y>0}. Let A>0, k>O, y=I1. Let M(Q, k, y) denote the set of functions f for which f(r)= .D=o ane2'i"rli and f(-1/T)=y(&/i)kf(T), for all T r H. Let MO(A, k, y) denote the set of feM(A, k. y) for which f((T)=O(yc) uniformly for all x as y-+, for some real c.
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Challenges to the Modularity Thesis Under the Bayesian Brain Models
Frontiers in Human Neuroscience, 2019 Modularity assumption is central to most theoretical and empirical approaches in cognitive science. The Bayesian Brain (BB) models are a class of neuro-computational models that aim to ground perception, cognition, and action under a single computational
Nithin George, Meera Mary Sunny
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Z-Score-Based Modularity for Community Detection in Networks. [PDF]
PLoS ONE, 2016 Identifying community structure in networks is an issue of particular interest in network science. The modularity introduced by Newman and Girvan is the most popular quality function for community detection in networks.
Atsushi Miyauchi, Yasushi Kawase
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Global vs local modularity for network community detection. [PDF]
PLoS ONE, 2018 Community structures are ubiquitous in various complex networks, implying that the networks commonly be composed of groups of nodes with more internal links and less external links.
Shi Chen +7 more
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Convergent evolution of modularity in metabolic networks through different community structures
BMC Evolutionary Biology, 2012 Background It has been reported that the modularity of metabolic networks of bacteria is closely related to the variability of their living habitats. However, given the dependency of the modularity score on the community structure, it remains unknown ...
Zhou Wanding, Nakhleh Luay
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