Learning an Integrated Distance Metric for Comparing Structure of Complex Networks

no code implementations • 13 Jul 2013 • Sadegh Aliakbary, Sadegh Motallebi, Jafar Habibi, Ali Movaghar

According to natural witnesses of network similarities (such as network categories) the distance metric is learned by the means of a dataset of some labeled real networks.

Clustering General Classification +1

Generative Model Selection Using a Scalable and Size-Independent Complex Network Classifier

no code implementations • 10 Jun 2013 • Sadegh Motallebi, Sadegh Aliakbary, Jafar Habibi

Real networks exhibit nontrivial topological features such as heavy-tailed degree distribution, high clustering, and small-worldness.

Clustering Model Selection