Universiteit Leiden

nl en


LCN2 Seminar: Network Ensembles

Friday 7 December 2018
Gorlaeus Building
Einsteinweg 55
2333 CC Leiden
Science club

November/December 2018 seminar

Speaker: Tiziano Squartini

Title: Network ensembles

Abstract: Born to describe the behavior of systems like gases, statistical ensembles are powerful tools for the analysis of real-world complex networks as well. Indeed, they represent the unifying concept underlying the definition of a number of techniques characterizing network science nowadays, very generally describable by means of three keywords: "benchmarking", "inferring", "counting". The first part of the seminar will be devoted to answer basic questions like "what is a network ensemble?", "how to define unbiased network ensembles?", "are network ensembles related?", etc. The second part of the talk, instead, will illustrate the methodological aspects of three ensemble-based techniques related to the aforementioned keywords: mesoscale structures detection, network reconstruction and graph enumeration. Case studies of real-world systems will be exemplified as well, e.g. the World Trade Web, the electronic Italian Interbank Money Market, the US sector network and others.

About the LCN2 seminar

This talk is part of a series of seminars organized within an ongoing scientific initiative called "Leiden Complex Networks Network (LCN2), which aims at bringing together scientists with a common interest in both theoretical models and empirical analyses of complex networks and random graphs. The LCN2 community that is being established shares the approach of using networks for describing real-world complex systems and aims at developing related analytical and numerical methods, while also being open to other research approaches for studying complex systems. The talks are designed for a broad audience, allowing for constructive exchanges of ideas between scientists from different disciplines. During and after the talk, some drinks and simple snacks are provided.

This website uses cookies.  More information.