I am excited to be organizing a minimymposium on the linear algebra of multilayer netoworks at the SIAM Conference on Applied Linear Algebra 2024.

Models of complex networks allow insights into application areas ranging from social over transport and engineered networks. Their canonical representation by matrices made them an important field of study in applied linear algebra. Multilayer networks represent a versatile model for networks in which entities are connected by different types of interactions. These can be represented by structured matrices or tensors, calling for novel linear algebra techniques such as linear systems, linear or non-linear eigenvalue problems, or matrix functions to reveal structural network properties. Popular examples include community detection, centrality analysis, or the detection of core–periphery structure. This minisymposium brings together a representative sample of the scientific community presenting recent progress on models and algorithms for the analysis of multilayer networks.

Invited Speakers

• Fabrizio De Vico Fallani, INRIA Paris Brain Institute, France
• Sara Venturini, Sensible City Lab, MIT, U.S.
• Kai Bergermann, Technische Universität, Chemnitz, Germany;