activity
20122020
most citedMining (maximal) span-cores from temporal networks

57 citations · 140 across the 9 of their papers we have counts for

collaborators

10 papers

cs.DS2020★ 5 cited

The Power of Connection: Leveraging Network Analysis to Advance Receivable Financing

Ilaria Bordino, Francesco Gullo, Giacomo Legnaro

Receivable financing is the process whereby cash is advanced to firms against receivables their customers have yet to pay: a receivable can be sold to a funder, which immediately g…

physics.soc-ph2020★ 33 cited

Relevance of temporal cores for epidemic spread in temporal networks

Martino Ciaperoni, Edoardo Galimberti, Francesco Bonchi +3

Temporal networks are widely used to represent a vast diversity of systems, including in particular social interactions, and the spreading processes unfolding on top of them. The i…

cs.DS2019★ 2 cited

Span-core Decomposition for Temporal Networks: Algorithms and Applications

Edoardo Galimberti, Martino Ciaperoni, Alain Barrat +3

When analyzing temporal networks, a fundamental task is the identification of dense structures (i.e., groups of vertices that exhibit a large number of links), together with their…

cs.DS2018★ 4 cited

Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications

Edoardo Galimberti, Francesco Bonchi, Francesco Gullo +1

Multilayer networks are a powerful paradigm to model complex systems, where multiple relations occur between the same entities. Despite the keen interest in a variety of tasks, alg…

cs.SI2018

Probabilistic Causal Analysis of Social Influence

Francesco Bonchi, Francesco Gullo, Bud Mishra +1

Mastering the dynamics of social influence requires separating, in a database of information propagation traces, the genuine causal processes from temporal correlation, i.e., homop…

cs.SI2018★ 57 cited

Mining (maximal) span-cores from temporal networks

Edoardo Galimberti, Alain Barrat, Francesco Bonchi +2

When analyzing temporal networks, a fundamental task is the identification of dense structures (i.e., groups of vertices that exhibit a large number of links), together with their…

cs.SI2017★ 12 cited

To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem

Natali Ruchansky, Francesco Bonchi, David Garcia-Soriano +2

We study the problem of extracting a selective connector for a given set of query vertices in a graph . A selective connector is a subgraph of which…

cs.SI2016

Conditional Reliability in Uncertain Graphs

Arijit Khan, Francesco Bonchi, Francesco Gullo +1

Network reliability is a well-studied problem that requires to measure the probability that a target node is reachable from a source node in a probabilistic (or uncertain) graph, i…

cs.SI2015★ 24 cited

The Minimum Wiener Connector

Natali Ruchansky, Francesco Bonchi, David Garcia-Soriano +2

The Wiener index of a graph is the sum of all pairwise shortest-path distances between its vertices. In this paper we study the novel problem of finding a minimum Wiener connector:…

cs.DB2012★ 3 cited

Uncertain Centroid based Partitional Clustering of Uncertain Data

Francesco Gullo, Andrea Tagarelli

Clustering uncertain data has emerged as a challenging task in uncertain data management and mining. Thanks to a computational complexity advantage over other clustering paradigms,…