Fast Algorithms for Indices of Nested Split Graphs Approximating Real Complex Networks [article]

Irene Sciriha, Johann A. Briffa, Mark Debono
<span title="2018-04-12">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We present a method based on simulated annealing to obtain a nested split graph that approximates a real complex graph. This is used to compute a number of graph indices using very efficient algorithms that we develop, leveraging the geometrical properties of nested split graphs. Practical results are given for six graphs from such diverse areas as social networks, communication networks, word associations, and molecular chemistry. We present a critical analysis of the appropriate perturbation
more &raquo; ... chemes that search the whole space of nested split graphs and the distance functions that gauge the dissimilarity between two graphs.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="">arXiv:1803.00306v3</a> <a target="_blank" rel="external noopener" href="">fatcat:bktcebr2zfhrdozqn2neob5p3u</a> </span>
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