activity
20162025
most citedClassification of infrastructure networks by neighborhood degree distribution

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2025

Two Phases Leakage Detection Strategy Supported by DMAs

G. Messa, G. Acconciaioco, S. Ripani +3

The present work proposes a novel two phases model-based strategy for leakage detection. The two phases are: the identification of the district metering area (DMA) and the pipe pre…

physics.chem-ph2025

A novel framework for disinfection analisys in drinking water networks

Daniele Laucelli, Lucia Vergine, Giuseppina Messa +1

Disinfection in drinking water networks is performed to ensure water safety and potability. However, disinfectants can react with organic compounds present in the water networks. T…

physics.soc-ph2023

Assessing Water Performance Indicators for Leakage Reduction and Asset Management in Water Supply Systems

G. Mazzolani, F. G. Ciliberti, L. Berardi +1

Water Supply Systems are essential infrastructures for the socio-economic life of urban cities. To improve their reliability, water utilities undertake several short- and long-term…

cs.SI2019

Embedding the intrinsic relevance of vertices in network analysis: the case of centrality metrics

Orazio Giustolisi, Luca Ridolfi, Antonietta Simone

Complex network theory (CNT) is gaining a lot of attention in the scientific community, due to its capability to model and interpret an impressive number of natural and anthropic p…

cs.SI2016★ 1 cited

Classification of infrastructure networks by neighborhood degree distribution

O. Giustolisi, A. Simone, L. Ridolfi

A common way of classifying network connectivity is the association of the nodal degree distribution to specific probability distribution models. During the last decades, researche…