A Survey on Graph Representation and Visualization Techniques

doi:10.16182/j.issn1004731x.joss.19-VR0444

Abstract

Abstract: A graph consists of nodes and edges, and represents the relationship between two or more entities. Graph-based analysis can help understand the structure and nature of the entity relationships and reveal the implicit relationships in graphs. The representation and visualization methods of graphs play an important role in the graph analysis. In graph visualization research, the accuracy of knowledge transfer and people's mental map, etc. should be considered first, then the graphs beauty, the time requirement, and the computer performance. The graph representation methods, graph layout algorithms, visualization methods based on node-link-graphs, adjacency matrices, and graph embedding are reviewed, summarized and contrasted. The future work and challenges are discussed.

Key words: Graph representation, visualization, node-link-graph, adjacency matrix, graph embedding

CLC Number:

TP391

Chen Yi, Zhang Menglu, Wan Yuchai. A Survey on Graph Representation and Visualization Techniques[J]. Journal of System Simulation, 2020, 32(7): 1232-1243.

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