Computation in Complex Networks

Complex networks are one of the most challenging research focuses of disciplines, including physics, mathematics, biology, medicine, engineering, and computer science, among others. The interest in complex networks is increasingly growing, due to their ability to model several daily life systems, su...

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その他の著者:	Pizzuti, Clara (編集者), Socievole, Annalisa (編集者)
フォーマット:	図書の章
出版事項:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
主題:	Technology: general issues city interaction network evolution model preferential attachment WeChat maximum likelihood chimera states coupled map lattice nilpotent matrix community detection membrane algorithm self-organizing map network complex networks optimization structural balance minimum memory based sign adjustment social networks NW network convergence complex system simulation cloud computing architecture service-oriented modeling semantic search framework QoS-based service selection cascading failures network topology null models SciSci knowledge evolution machine learning bridging centrality disjoint nodes disjunct nodes node similarity overlapping nodes Bayesian networks entropy socio-ecological system complex network chaotic time series Gaussian mixture model maximum mean discrepancy angiogenesis network properties variational inference graph neural network variational autoencoder network embedding online social networks social media information spreading information diffusion cross-entropy cross-domain recommendation sentiment analysis latent sentiment review feature non-linear mapping dissimilarity spaces support vector machines kernel methods computational biology systems biology protein contact networks data mining overlapping communities modularity literary works genre classification stylistic attributes lemmatization renormalisation process network growth inverse preferential attachment language networks language development multilayer complex networks stability spreading control graph neural networks node classification active learning graph representation learning n/a
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Computation in Complex Networks

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