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software.html
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<!DOCTYPE HTML>
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<blockquote> <h3> Code </h3> </blockquote>
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<a href="https://github.com/misxenia/BNPcommunity_graph" target="_blank">MATLAB package</a> <i>for the <b>graph simulation and inference </b>on sparse graphs with overlapping communities.</i></br>
</br>
Graph simulation is based on an efficient way of <b> simulating a random measure and the correspondning point process</b> <br> Posterior inference is performed in Bayesian spirit using an <b> MCMC sampler with Metropolis Hastings and Hamiltonian Monte Carlo steps. </b></br>
The posterior sampler is linear per node, edge and feature.
We use it to perfrom experiments on real datasets of social networks. For more details refer to
the paper <i>Exchangeable Random Measures for Sparse Graphs with Overlapping Communities </i> , Adrien Todeschini, <b>Xenia Miscouridou,</b> Francois Caron <a href="https://arxiv.org/abs/1602.02114" target="_blank"> arXiv:1602.02114</a> ,2017<br>
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xenia.miscouridou-at-stats.ox.ac.uk
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Department of Statistics<br>
University of Oxford<br>
24-29 St Giles<br>
Oxford OX1 3LB, UK
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