Graphlet Counting for Topological Data Analysis
Marco Guerra
Graphlet Counting for Topological Data Analysis.
Rel. Francesco Vaccarino. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Matematica, 2018
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Abstract
GRAPHLET COUNTING FOR TOPOLOGICAL DATA ANALYSIS In the present work we focus on computing the shortest possible basis of the first homology group H_1 of a weighted simplicial complex. The task is proved to be an NP-hard problem for H_k with k > 1, but the k=1 case is subject of recent research. Taking the lead from the recent work of Dey, which borrows ideas from previous studies to improve computational complexity, we have implemented a polynomial-time algorithm for the shortest homology basis of a simplicial complex over Z_2 coefficients and extended it to compute persistence over a family of its refinements.
The final objective is to experiment with existing datasets of neuroscientific measurements, in the light of the framework proposed in a recent paper, where a new topological object called homological scaffold is introduced to evaluate brain neuron activity correlations at a mesoscopic level, interpreting holes as inhomogeneities in the network structure
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