115 citations · 670 across the 11 of their papers we have counts for
Showing 2013Show all
3 papers · 1 filter
q-bio.MN2013★ 22 cited
SurpriseMe: an integrated tool for network community structure characterization using Surprise maximization
Rodrigo Aldecoa, Ignacio Marín
Detecting communities, densely connected groups may contribute to unravel the underlying relationships among the units present in diverse biological networks (e.g., interactome, co…
physics.soc-ph2013★ 74 cited
Exploring the limits of community detection strategies in complex networks
Rodrigo Aldecoa, Ignacio Marín
The characterization of network community structure has profound implications in several scientific areas. Therefore, testing the algorithms developed to establish the optimal divi…
cs.SI2013★ 96 cited
Surprise maximization reveals the community structure of complex networks
Rodrigo Aldecoa, Ignacio Marín
How to determine the community structure of complex networks is an open question. It is critical to establish the best strategies for community detection in networks of unknown str…