D. Asta, и C. Shalizi. arXiv:1411.1350 math, stat, (ноября 2014)arXiv: 1411.1350.
Аннотация
Network analysis has a crucial need for tools to compare networks and assess the significance of differences between networks. We propose a principled statistical approach to network comparison that approximates networks as probability distributions on negatively curved manifolds. We outline the theory, as well as implement the approach on simulated networks.
%0 Journal Article
%1 asta_geometric_2014
%A Asta, Dena
%A Shalizi, Cosma Rohilla
%D 2014
%J arXiv:1411.1350 math, stat
%K Geometry_Study Hyperbolic_Geometry Node_Embeddings
%T Geometric Network Comparison
%U http://arxiv.org/abs/1411.1350
%X Network analysis has a crucial need for tools to compare networks and assess the significance of differences between networks. We propose a principled statistical approach to network comparison that approximates networks as probability distributions on negatively curved manifolds. We outline the theory, as well as implement the approach on simulated networks.
@article{asta_geometric_2014,
abstract = {Network analysis has a crucial need for tools to compare networks and assess the significance of differences between networks. We propose a principled statistical approach to network comparison that approximates networks as probability distributions on negatively curved manifolds. We outline the theory, as well as implement the approach on simulated networks.},
added-at = {2020-02-21T16:09:44.000+0100},
author = {Asta, Dena and Shalizi, Cosma Rohilla},
biburl = {https://www.bibsonomy.org/bibtex/21297569951745986f862f9103ad04809/tschumacher},
file = {Asta, Shalizi - Geometric Network Comparisons.pdf:C\:\\Users\\Admin\\Documents\\Research\\_Paperbase\\Graph Embeddings\\Asta, Shalizi - Geometric Network Comparisons.pdf:application/pdf},
interhash = {9eceafe3f912de1f8c15228e9a8c4887},
intrahash = {1297569951745986f862f9103ad04809},
journal = {arXiv:1411.1350 [math, stat]},
keywords = {Geometry_Study Hyperbolic_Geometry Node_Embeddings},
language = {en},
month = nov,
note = {arXiv: 1411.1350},
timestamp = {2020-02-21T16:09:44.000+0100},
title = {Geometric {Network} {Comparison}},
url = {http://arxiv.org/abs/1411.1350},
urldate = {2019-12-10},
year = 2014
}