activity
20122026
most citedModeling echo chambers and polarization dynamics in social networks

443 citations · 1.8k across the 47 of their papers we have counts for

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6 papers · 1 filter

cond-mat.stat-mech2022★ 16 cited

Epidemic processes on self-propelled particles: continuum and agent-based modelling

Jorge P. Rodríguez, Matteo Paoluzzi, Demian Levis +1

Most spreading processes require spatial proximity between agents. The stationary state of spreading dynamics in a population of mobile agents thus depends on the interplay between…

cond-mat.stat-mech2019

Random walks in non-Poissoinan activity driven temporal networks

Antoine Moinet, Michele Starnini, Romualdo Pastor-Satorras

The interest in non-Markovian dynamics within the complex systems community has recently blossomed, due to a new wealth of time-resolved data pointing out the bursty dynamics of ma…

cond-mat.stat-mech2013★ 68 cited

Temporal percolation in activity driven networks

Michele Starnini, Romualdo Pastor Satorras

We study the temporal percolation properties of temporal networks by taking as a representative example the recently proposed activity driven network model [N. Perra et al., Sci. R…

cond-mat.stat-mech2013★ 75 cited

Topological properties of a time-integrated activity driven network

Michele Starnini, Romualdo Pastor Satorras

Here we consider the topological properties of the integrated networks emerging from the activity driven model [Perra at al. Sci. Rep. 2, 469 (2012)], a temporal network model rece…

cond-mat.stat-mech2012★ 46 cited

Ordering dynamics of the multi-state voter model

Michele Starnini, Andrea Baronchelli, Romualdo Pastor-Satorras

The voter model is a paradigm of ordering dynamics. At each time step, a random node is selected and copies the state of one of its neighbors. Traditionally, this state has been co…

cond-mat.stat-mech2012

Random walks on temporal networks

Michele Starnini, Andrea Baronchelli, Alain Barrat +1

Many natural and artificial networks evolve in time. Nodes and connections appear and disappear at various timescales, and their dynamics has profound consequences for any processe…