activity
20132021
most citedFast and Simple Computation of Top-k Closeness Centralities

8 citations · 10 across the 5 of their papers we have counts for

collaborators

6 papers

cs.DS2021

On Computing Pareto Optimal Paths in Weighted Time-Dependent Networks

Filippo Brunelli, Pierluigi Crescenzi, Laurent Viennot

A weighted point-availability time-dependent network is a list of temporal edges, where each temporal edge has an appearing time value, a travel time value, and a cost value. In th…

cs.SI2020

Simple and Fast Distributed Computation of Betweenness Centrality

Pierluigi Crescenzi, Pierre Fraigniaud, Ami Paz

Betweenness centrality is a graph parameter that has been successfully applied to network analysis. In the context of computer networks, it was considered for various objectives, r…

cs.DC2019

Trade-offs in Distributed Interactive Proofs

Pierluigi Crescenzi, Pierre Fraigniaud, Ami Paz

The study of interactive proofs in the context of distributed network computing is a novel topic, recently introduced by Kol, Oshman, and Saxena [PODC 2018]. In the spirit of seque…

cs.HC2017

Sigil3D: A Crowdsourcing Platform for Interactive 3D Content

Andrea Barillari, Daniele Bernardini, Pierluigi Crescenzi

In this paper we propose applying the crowdsourcing approach to a software platform that uses a modern and state-of-the-art 3D game engine. This platform could facilitate the gener…

cs.DS20158 cited

Fast and Simple Computation of Top-k Closeness Centralities

Michele Borassi, Pierluigi Crescenzi, Andrea Marino

Closeness is an important centrality measure widely used in the analysis of real-world complex networks. In particular, the problem of selecting the k most central nodes with respe…

cs.DM20132 cited

Rumor Spreading in Random Evolving Graphs

Andrea Clementi, Pierluigi Crescenzi, Carola Doerr +5

Randomized gossip is one of the most popular way of disseminating information in large scale networks. This method is appreciated for its simplicity, robustness, and efficiency. In…