activity
20142026
most citedZipf and Heaps laws from dependency structures in component systems

34 citations · 86 across the 12 of their papers we have counts for

collaborators

12 papers

cond-mat.stat-mech2026

Alternative routes to universal diversity scaling in component systems: from proteomes to large language models

Andrea Mazzolini, Leonardo Agasso, Filippo Valle +3

Remarkably common statistical laws characterize the diversity scaling and its fluctuations across a wide range of complex "component systems". These regularities are often interpre…

cond-mat.stat-mech2026

Component systems: do null models explain everything?

Andrea Mazzolini, Mattia Corigliano, Rossana Droghetti +2

Component systems - ensembles of realizations built from a shared repertoire of modular parts - are ubiquitous in biological, ecological, technological, and socio-cultural domains.…

cond-mat.stat-mech2024★ 1 cited

Ranking nodes in bipartite systems with a non-linear iterative map

Andrea Mazzolini, Michele Caselle, Matteo Osella

Ranking nodes in networks according to a defined measure of importance is an extensively studied task, with applications in ecology, economic trade networks, and social networks. T…

q-bio.PE2023★ 1 cited

Evolutionary stability of antigenically escaping viruses

Victor Chardès, Andrea Mazzolini, Thierry Mora +1

Antigenic variation is the main immune escape mechanism for RNA viruses like influenza or SARS-CoV-2. While high mutation rates promote antigenic escape, they also induce large mut…

q-bio.PE2022

Inspecting the interaction between HIV and the immune system through genetic turnover

Andrea Mazzolini, Thierry Mora, Aleksandra M Walczak

Chronic infections of the human immunodeficiency virus (HIV) create a very complex co-evolutionary process, where the virus tries to escape the continuously adapting host immune sy…

physics.flu-dyn2022★ 2 cited

Optimizing Airborne Wind Energy with Reinforcement Learning

N. Orzan, C. Leone, A. Mazzolini +2

Airborne Wind Energy is a lightweight technology that allows power extraction from the wind using airborne devices such as kites and gliders, where the airfoil orientation can be d…

q-bio.GN2021★ 1 cited

NoisET: Noise learning and Expansion detection of T-cell receptors

Meriem Bensouda Koraichi, Maximilian Puelma Touzel, Andrea Mazzolini +2

High-throughput sequencing of T- and B-cell receptors makes it possible to track immune repertoires across time, in different tissues, in acute and chronic diseases and in healthy…

q-bio.PE2019★ 7 cited

Generosity, selfishness and exploitation as optimal greedy strategies for resource sharing

Andrea Mazzolini, Antonio Celani

Resource sharing outside the kinship bonds is rare. Besides humans, it occurs in chimpanzee, wild dogs and hyenas as well as in vampire bats. Resource sharing is an instance of ani…

cond-mat.stat-mech2018★ 15 cited

Heaps' law, statistics of shared components and temporal patterns from a sample-space-reducing process

Andrea Mazzolini, Alberto Colliva, Michele Caselle +1

Zipf's law is a hallmark of several complex systems with a modular structure, such as books composed by words or genomes composed by genes. In these component systems, Zipf's law d…

physics.soc-ph2018★ 34 cited

Zipf and Heaps laws from dependency structures in component systems

Andrea Mazzolini, Jacopo Grilli, Eleonora De Lazzari +3

Complex natural and technological systems can be considered, on a coarse-grained level, as assemblies of elementary components: for example, genomes as sets of genes, or texts as s…

q-bio.GN2017★ 22 cited

Statistics of shared components in complex component systems

Andrea Mazzolini, Marco Gherardi, Michele Caselle +2

Many complex systems are modular. Such systems can be represented as "component systems", i.e., sets of elementary components, such as LEGO bricks in LEGO sets. The bricks found in…

q-bio.PE2014★ 3 cited

Adaptation and irreversibility in microevolution

Stefano Bo, Andrea Mazzolini, Antonio Celani

Within the framework of population genetics we consider the evolution of an asexual haploid population under the effect of a rapidly varying natural selection (microevolution). We…