Results 11 to 20 of about 45,264 (266)
Applied Network Science, 2021 In this paper we investigate how the modularity of model and real-world social networks affect their robustness and the efficacy of node attack (removal) strategies based on node degree (ID) and node betweenness (IB).
Quang Nguyen +6 more
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Frontiers in Psychology, 2022 This study aimed to explore the influence the value modularity and a firm’s innovation performance, directly and indirectly, using knowledge management as mediating variable.
Jianhua Wang +4 more
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Measuring Software Modularity Based on Software Networks
Entropy, 2019 Modularity has been regarded as one of the most important properties of a successful software design. It has significant impact on many external quality attributes such as reusability, maintainability, and understandability.
Yiming Xiang +4 more
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Improved community detection in weighted bipartite networks [PDF]
Royal Society Open Science, 2016 Real-world complex networks are composed of non-random quantitative interactions. Identifying communities of nodes that tend to interact more with each other than the network as a whole is a key research focus across multiple disciplines, yet many ...
Stephen J. Beckett
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Modular Extensions for Modular (Logic) Languages [PDF]
, 2012 We address the problem of developing mechanisms for easily implementing modular extensions to modular (logic) languages. By(language) extensions we refer to different groups of syntactic definitions and translation rules that extend a language. Our use of the concept of modularity in this context is twofold. We would like these extensions to be modular,
Morales Caballero, José Francisco +2 more
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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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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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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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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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