Fisica statistica

Detectability of the spectral method for sparse graph partitioning

by Tatsuro Kawamoto (Tokyo Institute of Technology)

Europe/Rome
Aula Careri (Dip. di Fisica - Edificio G. Marconi)

Aula Careri

Dip. di Fisica - Edificio G. Marconi

Description
We show that modularity maximization with the resolution parameter offers a unifying framework of graph partitioning. In this framework, we demonstrate that the spectral method exhibits universal detectability, irrespective of the value of the resolution parameter, as long as the graph is partitioned. Furthermore, we show that when the resolution parameter is sufficiently small, a first-order phase transition occurs, resulting in the graph being unpartitioned. arXiv: http://arxiv.org/abs/1509.06484