485 citations · 1.2k across the 47 of their papers we have counts for
9 papers · 1 filter
Better Fewer but Better: Community Search with Outliers
Francesco Bonchi, Lorenzo Severini, Mauro Sozio
Given a set of vertices in a network, that we believe are of interest for the application under analysis, community search is the problem of producing a subgraph potentially explai…
Adaptive Community Search in Dynamic Networks
Ioanna Tsalouchidou, Francesco Bonchi, Ricardo Baeza-Yates
Community search is a well-studied problem which, given a static graph and a query set of vertices, requires to find a cohesive (or dense) subgraph containing the query vertices. I…
Finding Densest -Connected Subgraphs
Francesco Bonchi, David García-Soriano, Atsushi Miyauchi +1
Dense subgraph discovery is an important graph-mining primitive with a variety of real-world applications. One of the most well-studied optimization problems for dense subgraph dis…
Explainable Classification of Brain Networks via Contrast Subgraphs
Tommaso Lanciano, Francesco Bonchi, Aristides Gionis
Mining human-brain networks to discover patterns that can be used to discriminate between healthy individuals and patients affected by some neurological disorder, is a fundamental…
Learning Opinion Dynamics From Social Traces
Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi
Opinion dynamics - the research field dealing with how people's opinions form and evolve in a social context - traditionally uses agent-based models to validate the implications of…
Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit
Joan Massachs, Corrado Monti, Gianmarco De Francisci Morales +1
We study the emergence of support for Donald Trump in Reddit's political discussion. With almost 800k subscribers, "r/The_Donald" is one of the largest communities on Reddit, and o…
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
Mirco Nanni, Gennady Andrienko, Albert-László Barabási +36
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when…
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…
Query-Efficient Correlation Clustering
David García-Soriano, Konstantin Kutzkov, Francesco Bonchi +1
Correlation clustering is arguably the most natural formulation of clustering. Given n objects and a pairwise similarity measure, the goal is to cluster the objects so that, to the…