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008			220601s2021 sz | s |||| 0|eng d
020			_a9783031026089
024	7		_a10.1007/978-3-031-02608-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.5 _b2021 EB
100	1		_aMcGee, Fintan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686413
245	1	0	_aVisual Analysis of Multilayer Networks _cby Fintan McGee, Benjamin Renoust, Daniel Archambault, Mohammad Ghoniem, Andreas Kerren, Bruno Pinaud
250			_a1st edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XV, 134 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSynthesis Collection of Technology_2021
650		7	_2embne _9147913 _aRedes de información
650		7	_2embne _9138446 _aAnálisis de sistemas
650		7	_2embne _9165250 _aComplejidad computacional
700	1		_aRenoust, Benjamin _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aArchambault, Daniel _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686414
700	1		_aGhoniem, Mohammad _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686415
700	1		_aKerren, Andreas _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686416
700			_aPinaud, Bruno _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _997574
776	0	8	_iPrinted edition: _z9783031003523
776	0	8	_iPrinted edition: _z9783031014802
776	0	8	_iPrinted edition: _z9783031037368
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02608-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _esc _zSI