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Special issue on Epidemics Dynamics & Control on Networks

New Content Item

Networks are ubiquitous in natural, technological and social systems. They offer a fertile framework for understanding and controlling the diffusion of ideas, rumors, and infectious diseases of plants, animals, and humans. Despite recent advances, many challenging scientific questions remain about the correct tools and their practical role in epidemics dynamics and effective strategies supporting public health decision making. The goal of this special issue is to offer a platform to the interdisciplinary community of scientists working on the diffusion process on networks and its plethora of applications. We hope for a broad range of topics to be covered, across theory, methodology, and application to empirical data with a special emphasis on epidemic spreading.

Survey and review papers are welcome.

The Lead guest editor
Matjaž Perc, matjaz.perc@gmail.com
University of Maribor, Slovenia

The Guest editors (TBU)

Benjamin M. Althouse, bma85@uw.edu
University of Washington, USA

Hocine Cherifi, hocine.cherifi@u-bourgogne.fr
University of Burgundy, France

Joel C Miller, joel.c.miller.research@gmail.com
La Trobe University, Australia

Chiara Poletto, chiara.poletto@inserm.fr
Inserm, France

Giulio Rosseti, giulio.rossetti@isti.cnr.it
University of Pisa, Italy

Onur Varol, ovarol@northeastern.edu
Northeastern University, USA



  1. Initially emerged in the Chinese city Wuhan and subsequently spread almost worldwide causing a pandemic, the SARS-CoV-2 virus follows reasonably well the Susceptible–Infectious–Recovered (SIR) epidemic model o...

    Authors: Clara Pizzuti, Annalisa Socievole, Bastian Prasse and Piet Van Mieghem

    Citation: Applied Network Science 2020 5:91

    Content type: Research

    Published on:

  2. The role of misinformation diffusion during a pandemic is crucial. An aspect that requires particular attention in the analysis of misinfodemics is the rationale of the source of false information, in particul...

    Authors: Lorenzo Prandi and Giuseppe Primiero

    Citation: Applied Network Science 2020 5:82

    Content type: Research

    Published on: