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Graph layout is the process of creating a visual representation of a graphthrough a node-link diagram. Node-attribute graphs have additional data storedon the nodes which describe certain properties of the nodes called attributes.Typical force-directed representations often produce hairball-like structuresthat neither aid in understanding the graph's topology nor the relationship toits attributes. The aim of this research was to investigate the use ofnode-attributes for graph layout in order to improve the analysis process andto give further insight into the graph over purely topological layouts. In thisarticle we present graphTPP, a graph based extension to targeted projectionpursuit (TPP) --- an interactive, linear, dimension reduction technique --- asa method for graph layout and subsequent further analysis. TPP allows users tocontrol the projection and is optimised for clustering. Three case studies wereconducted in the areas of influence graphs, network security, and citationnetworks. In each case graphTPP was shown to outperform standard force-directedtechniques and even other dimension reduction methods in terms of clarity ofclustered structure in the layout, the association between the structure andthe attributes and the insights elicited in each domain area.

graphTPP: A multivariate based method for interactive graph layout and analysis