Matrices arise in a great number of applied areas of computational science, not least as adjacency matrices in the study of graphs and networks. The Matrisse software tool supports interactive: generation; editing; analysis; and characterisation of small to medium sized asymmetric matrices with potentially complex eigenvalues. The tool interactivity and generation capabilities support the user in identification of relationships between classes of network and their corresponding characteristic type of adjacency matrix. This article reviews the software engineering and scalability issues behind a scientific tool like Matrisse and presents a number of worked example matrix structures and also a discussion of various characteristics and associated metrics.
Keywords: matrix; linear algebra; graph theory; adjacency matrix; complex eigenvalues; symmetry.
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