Statistical mechanics methods for Networks

Many scientific fields involve the study of networks in some form. Today, applications of network science are countless and the research activity on network modeling is very active. Furthermore, real-world data are increasingly rich in accounting for node and link attributes as well as temporal information, and, as a consequence, network models become more sophisticated in describing the mechanisms governing such spatial and temporal patterns. Learning these patterns and methods to do it are thus of paramount importance for both the theoretical aspects related to the better understanding of networks and the practical reason of extracting significant information from data. Statistical Mechanics Methods for Networks, a satellite session of the NetSci 2020 conference, will focus on the study of graph ensembles and the statistical mechanics of networked systems, for both static and dynamic cases.

Call for contributed talks is now open! Please submit a one page abstract to the form. Due to COVID-19 situation NetSci 2020 will be a fully online conference, and so are the satellites. Moreover, we understand that participants and contributors may not be able yet to decide whether they will be able to join the event. We will do our best to adapt to the situation and we treat current call more as an expression of interest.

Organizers