A Simple Taxonomy of Multilayer Networks

Shchurov, Andrey A.; Mařík, Radek

doi:10.14445/22312803/ijctt-v31p105

Cited by 1 publication

(2 citation statements)

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“…Kivelä et al [KAB*14] discuss in detail the theory behind multi-layer networks and present a general framework that allows to compare and relate similar network types, such as multiplex, networks of networks, and multimodal networks. Schurov et al [SM16] introduce a simple taxonomy of multi-layer networks characterizing them according to their structural properties. Xitao et al [XLSP17] present a short review of existing challenges in multi-layer network visualization with some examples taken from literature.…”

Section: Multi-layer Network Are Defined By Mcgee Et Al [Mgm*19] As F...mentioning

confidence: 99%

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Are We There Yet? A Roadmap of Network Visualization from Surveys to Task Taxonomies

Filipov

Arleo

Miksch

2023

Computer Graphics Forum

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Networks are abstract and ubiquitous data structures, defined as a set of data points and relationships between them. Network visualization provides meaningful representations of these data, supporting researchers in understanding the connections, gathering insights, and detecting and identifying unexpected patterns. Research in this field is focusing on increasingly challenging problems, such as visualizing dynamic, complex, multivariate, and geospatial networked data. This ever‐growing, and widely varied, body of research led to several surveys being published, each covering one or more disciplines of network visualization. Despite this effort, the variety and complexity of this research represents an obstacle when surveying the domain and building a comprehensive overview of the literature. Furthermore, there exists a lack of clarification and uniformity between the terminology used in each of the surveys, which requires further effort when mapping and categorizing the plethora of different visualization techniques and approaches. In this paper, we aim at providing researchers and practitioners alike with a “roadmap” detailing the current research trends in the field of network visualization. We design our contribution as a meta‐survey where we discuss, summarize, and categorize recent surveys and task taxonomies published in the context of network visualization. We identify more and less saturated disciplines of research and consolidate the terminology used in the surveyed literature. We also survey the available task taxonomies, providing a comprehensive analysis of their varying support to each network visualization discipline and by establishing and discussing a classification for the individual tasks. With this combined analysis of surveys and task taxonomies, we provide an overarching structure of the field, from which we extrapolate the current state of research and promising directions for future work.

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Section: Multi-layer Network Are Defined By Mcgee Et Al [Mgm*19] As F...mentioning

confidence: 99%

“…Schurov et al. [ SM16 ] introduce a simple taxonomy of multi‐layer networks characterizing them according to their structural properties. Xitao et al.…”

Section: Surveysmentioning

confidence: 99%