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020 _a9783030972400
_9978-3-030-97240-0
024 7 _a10.1007/978-3-030-97240-0
_2doi
050 4 _aTK7885-7895
050 4 _aTK5105.5-5105.9
072 7 _aUK
_2bicssc
072 7 _aCOM067000
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072 7 _aUK
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082 0 4 _a621.39
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082 0 4 _a004.6
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245 1 0 _aNetwork Science
_h[electronic resource] :
_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 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXII, 185 p. 45 illus., 38 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
_x2946-1642 ;
_v13197
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.
650 0 _aComputer engineering.
650 0 _aComputer networks .
650 0 _aApplication software.
650 0 _aSocial sciences
_xData processing.
650 1 4 _aComputer Engineering and Networks.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aComputer Application in Social and Behavioral Sciences.
700 1 _aRibeiro, Pedro.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSilva, Fernando.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMendes, José Fernando.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLaureano, Rosário.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030972394
776 0 8 _iPrinted edition:
_z9783030972417
830 0 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
_x2946-1642 ;
_v13197
856 4 0 _uhttps://doi.org/10.1007/978-3-030-97240-0
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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942 _cSPRINGER
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