A methodology is presented that is able to clearly detect if the community structure found by some algorithms is statistically significant or is a result of ...

Oct 17, 2016 · In this paper we present a methodology able to clearly detect if the community structure found by some algorithms is statistically significant ...

Jun 29, 2024 · In this paper we present a methodology able to clearly detect if the community structure found by some algorithms is statistically significant ...

A methodology is presented that is able to clearly detect if the community structure found by some algorithms is statistically significant or is a result of ...

We present a methodology able to clearly detect the truly significance of the communities identified by some technique, permitting us to discard those that ...

We provide an effective method to validate the robustness of a given community structure in a Network. Our main idea is summarized in the following abstract.

These two functions create the internal process for perturbation and measurement of communities stability. In particular robinRobust tests the robustness of a ...

A methodology is presented that is able to clearly detect if the community structure found by some algorithms is statistically significant or is a result of ...

Journal: Computational Statistics & Data Analysis, 2018, p. 1-24 ; Publisher: Elsevier BV ; Authors: Annamaria Carissimo, Luisa Cutillo, Italia De Feis.

The recent availability of data from social media enables the observation of societies at a global scale. In this paper, we study the geographical structure of ...