Computation in Complex Networks

• Autore: Pizzuti Clara
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (352 p.)
• Soggetto topico: Technology: general issues
• Soggetto non controllato: active learning; angiogenesis; Bayesian networks; bridging centrality; cascading failures; chaotic time series; chimera states; city interaction network; cloud computing architecture; community detection; complex network; complex networks; complex system simulation; computational biology; convergence; coupled map lattice; cross-domain recommendation; cross-entropy; data mining; disjoint nodes; disjunct nodes; dissimilarity spaces; entropy; evolution model; Gaussian mixture model; genre classification; graph neural network; graph neural networks; graph representation learning; information diffusion; information spreading; inverse preferential attachment; kernel methods; knowledge evolution; language development; language networks; latent sentiment review feature; lemmatization; literary works; machine learning; maximum likelihood; maximum mean discrepancy; membrane algorithm; minimum memory based sign adjustment; modularity; multilayer complex networks; n/a; network embedding; network growth; network properties; network topology; nilpotent matrix; node classification; node similarity; non-linear mapping; null models; NW network; online social networks; optimization; overlapping communities; overlapping nodes; preferential attachment; protein contact networks; QoS-based service selection; renormalisation process; SciSci; self-organizing map network; semantic search framework; sentiment analysis; service-oriented modeling; social media; social networks; socio-ecological system; spreading control; stability; structural balance; stylistic attributes; support vector machines; systems biology; variational autoencoder; variational inference; WeChat
• Persona (resp. second.): SocievoleAnnalisa; PizzutiClara
• Sommario/riassunto: 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, such as technology networks, the Internet, and communication, chemical, neural, social, political and financial networks. The Special Issue "Computation in Complex Networks" of Entropy offers a multidisciplinary view on how some complex systems behave, providing a collection of original and high-quality papers within the research fields of: • Community detection • Complex network modelling • Complex network analysis • Node classification • Information spreading and control • Network robustness • Social networks • Network medicine
• Titolo autorizzato: Computation in Complex Networks
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557395103321
• Lo trovi qui: Univ. Federico II