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020 _a9783031026089
_9978-3-031-02608-9
024 7 _a10.1007/978-3-031-02608-9
_2doi
050 4 _aQA76.9.I52
072 7 _aUYZF
_2bicssc
072 7 _aMAT013000
_2bisacsh
072 7 _aUYZF
_2thema
082 0 4 _a001.4226
_223
100 1 _aMcGee, Fintan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978820
245 1 0 _aVisual Analysis of Multilayer Networks
_h[electronic resource] /
_cby Fintan McGee, Benjamin Renoust, Daniel Archambault, Mohammad Ghoniem, Andreas Kerren, Bruno Pinaud.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXV, 134 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Visualization,
_x2159-5178
505 0 _aPreface -- Figure Credits -- Introduction and Overview -- Multilayer Networks Across Domains -- The Layer as an Entity -- Task Taxonomy for Multilayer Networks -- Visualization of Nodes and Relationships Across Layers -- Interacting with and Analyzing Multilayer Networks -- Attribute Visualization and Multilayer Networks -- Evaluation of Multilayer Network Visualization Systems and Techniques -- Conclusions -- Bibliography -- Authors' Biographies -- List of Figures.
520 _aThe emergence of multilayer networks as a concept from the field of complex systems provides many new opportunities for the visualization of network complexity, and has also raised many new exciting challenges. The multilayer network model recognizes that the complexity of relationships between entities in real-world systems is better embraced as several interdependent subsystems (or layers) rather than a simple graph approach. Despite only recently being formalized and defined, this model can be applied to problems in the domains of life sciences, sociology, digital humanities, and more. Within the domain of network visualization there already are many existing systems, which visualize data sets having many characteristics of multilayer networks, and many techniques, which are applicable to their visualization. In this Synthesis Lecture, we provide an overview and structured analysis of contemporary multilayer network visualization. This is not only for researchers in visualization, but also for those who aim to visualize multilayer networks in the domain of complex systems, as well as those solving problems within application domains. We have explored the visualization literature to survey visualization techniques suitable for multilayer network visualization, as well as tools, tasks, and analytic techniques from within application domains. We also identify the research opportunities and examine outstanding challenges for multilayer network visualization along with potential solutions and future research directions for addressing them.
650 0 _aInformation visualization.
_914255
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 0 _aData mining.
_93907
650 1 4 _aData and Information Visualization.
_933848
650 2 4 _aData Structures and Information Theory.
_931923
650 2 4 _aData Mining and Knowledge Discovery.
_978821
700 1 _aRenoust, Benjamin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978822
700 1 _aArchambault, Daniel.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978823
700 1 _aGhoniem, Mohammad.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978824
700 1 _aKerren, Andreas.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978825
700 1 _aPinaud, Bruno.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978826
710 2 _aSpringerLink (Online service)
_978827
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031003523
776 0 8 _iPrinted edition:
_z9783031014802
776 0 8 _iPrinted edition:
_z9783031037368
830 0 _aSynthesis Lectures on Visualization,
_x2159-5178
_978828
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02608-9
912 _aZDB-2-SXSC
942 _cEBK
999 _c84664
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