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...
Guardado en:
| Formato: | Online |
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| Lenguaje: | inglés |
| Publicado: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Materias: | |
| Acceso en línea: | ONIX_20220111_9783036506821_495 |
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| _version_ | 1869516171024269312 |
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| collection | Directory of Open Access Books |
| description | 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 |
| format | Online |
| id | doab-20.500.12854ir-76760 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-767602024-04-09T23:16:25Z Computation in Complex Networks Pizzuti, Clara Socievole, Annalisa 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 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 2022-01-11T13:41:12Z 2022-01-11T13:41:12Z 2021 book ONIX_20220111_9783036506821_495 9783036506821 9783036506838 https://directory.doabooks.org/handle/20.500.12854/76760 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4209 https://mdpi.com/books/pdfview/book/4209 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0683-8 10.3390/books978-3-0365-0683-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036506821 9783036506838 352 Basel, Switzerland open access |
| spellingShingle | city interaction network evolution model preferential attachment 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Computation in Complex Networks |
| title | Computation in Complex Networks |
| title_full | Computation in Complex Networks |
| title_fullStr | Computation in Complex Networks |
| title_full_unstemmed | Computation in Complex Networks |
| title_short | Computation in Complex Networks |
| title_sort | computation in complex networks |
| topic | city interaction network evolution model preferential attachment 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | city interaction network evolution model preferential attachment 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20220111_9783036506821_495 |