Graph Visualization and Navigation in Information Visualization: A Survey

By Ivan Herman, Guy Melançon, M. Scott Marshall. IEEE Transactions on Visualization and Computer Graphics, 2000

1,820 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/9cd0f13e8305660f392210c3dab7561be918825a

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Citations in the corpus

Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data (2006, methodology): “If we want to gain more insight in the hierarchical organization of each of the examples mentioned above, we can visualize the hierarchical structure using one of the many tree visualization methods that have been proposed in the past [2] [7] [15] [18] [24] [27].”
A survey of two-dimensional graph layout techniques for information visualisation (2013, background): “Other problems include node occlusion, difficulties in finding the best ‘view’ in space and difficulty in adapting to actions and interactions in three-dimensional (3D) space.(9,10) Di Battista et al.”
Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities (2016, neutral): “…trees (Lamping and Rao, 1996), dendograms, cone and radial trees (Nussbaumer, 2005) for hierarchical data; • node-link diagrams (Elmqvist and Fekete, 2010) with graph layout algorithms such as Reingold and TIlford, Htrees and Balloon graphs (Herman et al., 2000) for representing relationships.”
NodeTrix: a Hybrid Visualization of Social Networks (2007, background): “Graph drawing has a very rich history [9, 18], with early work on interactive computerized visualizations extending back to the 1960s [4].”
Efficient aggregation for graph summarization (2008, background): “Studies on graph visualization are surveyed in [3, 10].”
Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017, background): “It is a way to represent the data and services for end users in a friendly and easy manner [258]–[260].”
A survey of traceability in requirements engineering and model-driven development (2010, background): “Despite all of these advantages, models and diagrams are often not as intuitive to ordinary users as matrices or crossreferences, as they can often become huge and thus, hard to understand [86].”
A literature survey on smart cities (2015, background): “It is an approach proposed to provide friendly presentation of data and services to smart city application users [80].”
Graph Embedding Techniques, Applications, and Performance: A Survey (2017, background): “[47] generalize this and view it from an information visualization perspective.”
Visualization of interfirm relations in a converging mobile ecosystem (2008, methodology): “The goal of visualization algorithms is to layout nodelink diagrams as fast and effectively as possible (Eick, 1996; Herman et al., 2000).”
Network Representation Learning: A Survey (2017, methodology): “[80] surveys a range of methods used to visualize graphs from an information visualization perspective.”