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| 003 | ES-MaUEC | ||
| 005 | 20240201134307.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 220224s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783030972400 | ||
| 024 | 7 |
_a10.1007/978-3-030-97240-0 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTK5105.5 _b2022 EB |
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| 245 | 0 | 0 |
_aNetwork Science : _b7th International Winter Conference, NetSci-X 2022, Porto, Portugal, February 8-11, 2022, Proceedings _cedited by Pedro Ribeiro, Fernando Silva, José Fernando Mendes, Rosário Laureano |
| 250 | _aFirst edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publising _c2022 |
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| 300 |
_a1 recurso en línea (XII, 185 páginas) _b45 ilustraciones, 38 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aInformation Systems and Applications incl. Internet/Web and HCI _v13197 |
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| 505 | 0 | _aUsing localized attacks with probabilistic failures to model seismic events over physical-logical interdependent network -- A Historical Perspective On International Treaties Via Hypernetwork Science -- On the Number of Edges of the Frechet Mean and Median Graphs -- Core but not Peripheral Online Social Ties is a Protective Factor against Depression: Evidence from a Nationally Representative Sample of Young Adults -- Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification -- Modularity-based Backbone Extraction in Weighted Complex Networks -- Vessel destination prediction using a graph-based machine learning model -- Hunting for Dual-target Set on a Class of Hierarchical Networks -- Generalized Linear Models Network Autoregression -- Constructing Provably Robust Scale-free Networks -- Functional characterization of transcriptional regulatory networks of yeast species -- Competitive Information Spreading on Modular Networks -- HyperNetVec: Fast and Scalable Hierarchical Embedding for Hypergraphs. | |
| 520 | _aThis book constitutes the refereed proceedings of the 7th International Conference and School of Network Science, NetSci-X 2022, held in Porto, Portugal, in February 2021. The 13 full papers were carefully reviewed and selected from 19 submissions. The papers deal with the study of network models in domains ranging from biology and physics to computer science, from financial markets to cultural integration, and from social media to infectious diseases. | ||
| 988 | _aSpringer_Computer_2022 | ||
| 650 | 7 |
_2embne _9141354 _aRedes informáticas _vCongresos y asambleas |
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| 700 | 1 |
_aRibeiro, Pedro _eeditor literario |
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| 700 | 1 |
_aSilva, Fernando _eeditor literario |
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| 700 | 1 |
_aMendes, José Fernando _eeditor literario |
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| 700 | 1 |
_aLaureano, Rosário _eeditor literario |
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| 773 | 0 | _tSpringer Nature eBook | |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-97240-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE _n0 |
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| 998 |
_b03/2022 _dz _eu _zSI |
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