Results 51 to 60 of about 9,974,561 (338)
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks
Knowledge Discovery and Data Mining, 2018 Massive and dynamic networks arise in many practical applications such as social media, security and public health. Given an evolutionary network, it is crucial to detect structural anomalies, such as vertices and edges whose "behaviors'' deviate from ...
Wenchao Yu +5 more
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Community Discovery in Dynamic Networks [PDF]
ACM Computing Surveys, 2017 Several research studies have shown that complex networks modeling real-world phenomena are characterized by striking properties: (i) they are organized according to community structure, and (ii) their structure evolves with time.
Giulio Rossetti, Rémy Cazabet
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Dynamics on Networks of Manifolds [PDF]
Symmetry, Integrability and Geometry: Methods and Applications, 2015 We propose a precise definition of a continuous time dynamical system made up of interacting open subsystems. The interconnections of subsystems are coded by directed graphs. We prove that the appropriate maps of graphs called graph fibrations give rise to maps of dynamical systems.
DeVille, L., Lerman, E.
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Frontiers in Applied Mathematics and Statistics, 2023 IntroductionMathematical modeling has emerged as a crucial component in understanding the epidemiology of infectious diseases. In fact, contemporary surveillance efforts for epidemic or endemic infections heavily rely on mathematical and computational ...
Paola Stolfi +3 more
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, 2009 Probably one of the most characteristic features of a living system is its continual propensity to change as it juggles the demands of survival with the need to replicate. Internally these adjustments are manifest as changes in metabolite, protein, and gene activities.
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CONTROLLING NETWORK DYNAMICS [PDF]
Advances in Complex Systems, 2019 Network science has experienced unprecedented rapid development in the past two decades. The network perspective has also been widely applied to explore various complex systems in great depth. In the first decade, fundamental characteristics of complex network structure, such as the small-worldness, scale-freeness, and modularity, of various complex ...
Yang-Yu Liu, Yang-Yu Liu, Aming Li
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TIMERS: Error-Bounded SVD Restart on Dynamic Networks [PDF]
AAAI Conference on Artificial Intelligence, 2017 Singular Value Decomposition (SVD) is a popular approach in various network applications, such as link prediction and network parameter characterization.
Ziwei Zhang +4 more
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A model for biological dynamic networks
Networks and Heterogeneous Media, 2011 The main aim of this paper is to introduce a mathematical frameworkto study stochastically evolving networks. More precisely,we provide a common language and suitable tools tostudy systematically the probability distribution of topologicalcharacteristics,
Alessia Marigo, Benedetto Piccoli
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Complexity and irreducibility of dynamics on networks of networks [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2018 We study numerically the dynamics of a network of all-to-all-coupled, identical sub-networks consisting of diffusively coupled, non-identical FitzHugh–Nagumo oscillators. For a large range of within- and between-network couplings, the network exhibits a variety of dynamical behaviors, previously described for single, uncoupled networks.
Leonardo Rydin Gorjão +4 more
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The minimum cost multicommodity flow problem in dynamic networks and an algorithm for its solving [PDF]
Computer Science Journal of Moldova, 2005 The dynamic version of the minimum cost multicommodity flow problem that generalizes the static minimum cost multicommodity flow problem is formulated and studied.
Maria A. Fonoberova, Dmitrii D. Lozovanu
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