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20042022
most citedGeneralized Louvain Method for Community Detection in Large Networks

453 citations · 1.2k across the 20 of their papers we have counts for

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9 papers · 1 filter

cs.SI2020

Exploring Low-degree Nodes First Accelerates Network Exploration

Stefania Costantini, Pasquale De Meo, Angelo Giorgianni +3

We consider information diffusion on Web-like networks and how random walks can simulate it. A well-studied problem in this domain is Partial Cover Time, i.e., the calculation of t…

cs.SI2018★ 35 cited

A general centrality framework based on node navigability

Pasquale De Meo, Mark Levene, Fabrizio Messina +1

Centrality metrics are a popular tool in Network Science to identify important nodes within a graph. We introduce the Potential Gain as a centrality measure that unifies many walk-…

cs.SI2014★ 29 cited

Analysis of a heterogeneous social network of humans and cultural objects

Santa Agreste, Pasquale De Meo, Emilio Ferrara +2

Modern online social platforms enable their members to be involved in a broad range of activities like getting friends, joining groups, posting/commenting resources and so on. In t…

cs.SI2013★ 114 cited

Enhancing community detection using a network weighting strategy

Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara +1

A community within a network is a group of vertices densely connected to each other but less connected to the vertices outside. The problem of detecting communities in large networ…

cs.SI2013★ 146 cited

Mixing local and global information for community detection in large networks

Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara +1

The problem of clustering large complex networks plays a key role in several scientific fields ranging from Biology to Sociology and Computer Science. Many approaches to clustering…

cs.SI2012★ 140 cited

On Facebook, most ties are weak

Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara +1

Pervasive socio-technical networks bring new conceptual and technological challenges to developers and users alike. A central research theme is evaluation of the intensity of relat…