A Bayesian Model of node interaction in networks
Machine Learning
2015-03-09 v2 Methodology
Machine Learning
Abstract
We are concerned with modeling the strength of links in networks by taking into account how often those links are used. Link usage is a strong indicator of how closely two nodes are related, but existing network models in Bayesian Statistics and Machine Learning are able to predict only wether a link exists at all. As priors for latent attributes of network nodes we explore the Chinese Restaurant Process (CRP) and a multivariate Gaussian with fixed dimensionality. The model is applied to a social network dataset and a word coocurrence dataset.
Cite
@article{arxiv.1402.4279,
title = {A Bayesian Model of node interaction in networks},
author = {Ingmar Schuster},
journal= {arXiv preprint arXiv:1402.4279},
year = {2015}
}