3.1k citations · 12k across the 15 of their papers we have counts for
13 papers · 1 filter
Identifying modular flows on multilayer networks reveals highly overlapping organization in social systems
Manlio De Domenico, Andrea Lancichinetti, Alex Arenas +1
Unveiling the community structure of networks is a powerful methodology to comprehend interconnected systems across the social and natural sciences. To identify different types of…
Robustness of journal rankings by network flows with different amounts of memory
Ludvig Bohlin, Alcides Viamontes Esquivel, Andrea Lancichinetti +1
As the number of scientific journals has multiplied, journal rankings have become increasingly important for scientific decisions. From submissions and subscriptions to grants and…
Memory in network flows and its effects on spreading dynamics and community detection
Martin Rosvall, Alcides V. Esquivel, Andrea Lancichinetti +2
Random walks on networks is the standard tool for modelling spreading processes in social and biological systems. This first-order Markov approach is used in conventional community…
Consensus clustering in complex networks
Andrea Lancichinetti, Santo Fortunato
The community structure of complex networks reveals both their organization and hidden relationships among their constituents. Most community detection methods currently available…
Limits of modularity maximization in community detection
Andrea Lancichinetti, Santo Fortunato
Modularity maximization is the most popular technique for the detection of community structure in graphs. The resolution limit of the method is supposedly solvable with the introdu…
Finding statistically significant communities in networks
Andrea Lancichinetti, Filippo Radicchi, Jose' Javier Ramasco +1
Community structure is one of the main structural features of networks, revealing both their internal organization and the similarity of their elementary units. Despite the large v…