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Graph Drawing and Network Visualization - 27th International Symposium, GD 2019, Prague, Czech Republic, September 17-20, 2019, Proceedings (Paperback, 1st ed. 2019)
Daniel Archambault, Csaba D. Toth
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This book constitutes the refereed proceedings of the 27th
International Symposium on Graph Drawing and Network Visualization,
GD 2019, held in Prague, Czech Republic, in September 2019.The 42
papers and 12 posters presented in this volume were carefully
reviewed and selected from 113 submissions. They were organized
into the following topical sections: Cartograms and Intersection
Graphs, Geometric Graph Theory, Clustering, Quality Metrics,
Arrangements, A Low Number of Crossings, Best Paper in Track 1,
Morphing and Planarity, Parameterized Complexity, Collinearities,
Topological Graph Theory, Best Paper in Track 2, Level Planarity,
Graph Drawing Contest Report, and Poster Abstracts.
The 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.
As the outcome of the Dagstuhl Seminar 15481 on Crowdsourcing and
Human-Centered Experiments, this book is a primer for computer
science researchers who intend to use crowdsourcing technology for
human centered experiments. The focus of this Dagstuhl seminar,
held in Dagstuhl Castle in November 2015, was to discuss
experiences and methodological considerations when using
crowdsourcing platforms to run human-centered experiments to test
the effectiveness of visual representations. The inspiring Dagstuhl
atmosphere fostered discussions and brought together researchers
from different research directions. The papers provide information
on crowdsourcing technology and experimental methodologies,
comparisons between crowdsourcing and lab experiments, the use of
crowdsourcing for visualisation, psychology, QoE and HCI empirical
studies, and finally the nature of crowdworkers and their work,
their motivation and demographic background, as well as the
relationships among people forming the crowdsourcing community.
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