TimeArcs: Visualizing Fluctuations in Dynamic Networks

Dang, Tommy; Pendar, N.; Forbes, Angus G.

doi:10.1111/cgf.12882

Cited by 41 publications

(28 citation statements)

References 37 publications

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“…BranchingSets [ 49 ] uses multi-colored links and nodes to indicate the provenance of specific proteins and biochemical relationships between proteins, making it easier for a user to see which contexts are relevant for particular elements. TimeArcs [ 50 ] is a visualization technique that highlights PubMed articles related to particular subnetworks of proteins within a specified time range. At a glance, a user can see whether or not a particular protein or set of proteins is described within the literature of biological pathways.…”

Section: Resultsmentioning

confidence: 99%

A taxonomy of visualization tasks for the analysis of biological pathway data

2017

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BackgroundUnderstanding complicated networks of interactions and chemical components is essential to solving contemporary problems in modern biology, especially in domains such as cancer and systems research. In these domains, biological pathway data is used to represent chains of interactions that occur within a given biological process. Visual representations can help researchers understand, interact with, and reason about these complex pathways in a number of ways. At the same time, these datasets offer unique challenges for visualization, due to their complexity and heterogeneity.ResultsHere, we present taxonomy of tasks that are regularly performed by researchers who work with biological pathway data. The generation of these tasks was done in conjunction with interviews with several domain experts in biology. These tasks require further classification than is provided by existing taxonomies. We also examine existing visualization techniques that support each task, and we discuss gaps in the existing visualization space revealed by our taxonomy.ConclusionsOur taxonomy is designed to support the development and design of future biological pathway visualization applications. We conclude by suggesting future research directions based on our taxonomy and motivated by the comments received by our domain experts.

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Section: Resultsmentioning

confidence: 99%

A taxonomy of visualization tasks for the analysis of biological pathway data

2017

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“…Dang et al [33] propose a network visualization called TimeArcs where vertices (called entities) represent terms of articles, stacked vertically. Edges are correlated terms in the same article, represented as vertical arcs.…”

Section: Visualization Of Dynamic Graphsmentioning

confidence: 99%

“…Our case study partner had already studied the dataset at length (see work [1]). The relationships had been visualized using two separate representations: node-link diagrams and TimeArcs [33], shown in the supplementary material. The TimeArcs visualization shows the dynamic graph that revealed the connections between persons over time, but not showing the documents.…”

Section: Trade Network In the 17 Th Centurymentioning

confidence: 99%

Analyzing Dynamic Hypergraphs with Parallel Aggregated Ordered Hypergraph Visualization

Valdivia

Buono

Plaisant

et al. 2021

IEEE Trans. Visual. Comput. Graphics

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Parallel Aggregated Ordered Hypergraph (PAOH) is a novel technique to visualize dynamic hypergraphs. Hypergraphs are a generalization of graphs where edges can connect several vertices. Hypergraphs can be used to model networks of business partners or co-authorship networks with multiple authors per article. A dynamic hypergraph evolves over discrete time slots. PAOH represents vertices as parallel horizontal bars and hyperedges as vertical lines, using dots to depict the connections to one or more vertices. We describe a prototype implementation of Parallel Aggregated Ordered Hypergraph, report on a usability study with 9 participants analyzing publication data, and summarize the improvements made. Two case studies and several examples are provided. We believe that PAOH is the first technique to provide a highly readable representation of dynamic hypergraphs. It is easy to learn and well suited for medium size dynamic hypergraphs (50-500 vertices) such as those commonly generated by digital humanities projects-our driving application domain.

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“…Thus, from the systems review [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] we see that these software products contain summary statistical data on quantitative indicators. They focused on providing only key parameters of the education system and do not allow in-depth analysis.…”

Section: Literature and Systems Reviewmentioning

confidence: 99%

Applied research of data management in the education system for decision-making on the example of Al-Farabi Kazakh National University

et al. 2020

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In the context of the university digital transformation, the development of digitalization processes, it is necessary to introduce a data management culture. In most cases, this approach does not allow to see a big picture, as well as to identify “bottlenecks”. There is a need to develop a unified data management strategy, which will assess the value of IT technology, and ensure the adoption of effective decisions. This article highlights the conceptual issues of data management strategies in higher education, using the example of the university. The place of the data processing strategy within the university’s information space is considered a map model for analyzing key issues for decision making. The basic principles of organizing a data strategy for the university are determined. There is also considered an approach to designing and implementing an information and analytical system on the Microsoft Power BI cloud-based business analysis platform, which integrates all disparate data from university’s corporate information systems and transactional data sources. The analysis of reports of key business processes of the university is carried out, in which the formulation of research questions is shown, and there have been given conclusions to these issues. Introduction of the information and analytical system in the contour of the university’s corporate information system will contribute to the early identification of bottlenecks in the organization of the educational system and prompt decision-making in a systematic and comprehensive analysis of the main business processes of the educational organization through building a data map and visualizing all statistical reports.

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TimeArcs: Visualizing Fluctuations in Dynamic Networks

Cited by 41 publications

References 37 publications

A taxonomy of visualization tasks for the analysis of biological pathway data

A taxonomy of visualization tasks for the analysis of biological pathway data

Analyzing Dynamic Hypergraphs with Parallel Aggregated Ordered Hypergraph Visualization

Applied research of data management in the education system for decision-making on the example of Al-Farabi Kazakh National University

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