
doi: 10.1002/wics.1343
With the prevalence of big data, there is a growing need for algorithms and techniques for visualizing very large and complex graphs. In this article, we review layout algorithms and interactive exploration techniques for large graphs. In addition, we briefly look at softwares and datasets for visualization graphs, as well as challenges that need to be addressed.WIREs Comput Stat2015, 7:115–136. doi: 10.1002/wics.1343This article is categorized under:Statistical Learning and Exploratory Methods of the Data Sciences > Exploratory Data AnalysisData: Types and Structure > Graph and Network DataStatistical and Graphical Methods of Data Analysis > Statistical Graphics and Visualization
graph drawing, graph embedding, high-dimensional data, Computational methods for problems pertaining to statistics
graph drawing, graph embedding, high-dimensional data, Computational methods for problems pertaining to statistics
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