[Network Seminar] Giona Casiraghi - Statistical Modelling of Multi-Edge Networks

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chakresh.singh

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Apr 21, 2022, 6:09:52 AM4/21/22

to Network seminar in Paris

Dear all,

We are excited to invite you to the next Network Seminar on 28th April 5pm-6pm CET with Giona Casiraghi (ETH Zurich).

The seminar will be online. Please use this registration Link for online attendance

More information on the event page: https://events.cri-paris.org/e/134

Title: Statistical Modelling of Multi-Edge Networks

Abstract: A fundamental issue of network data science is the ability to discern observed features that can be expected at random from those beyond such expectations. Network models play a crucial role there. They allow us to test hypotheses and understand the mechanisms underlying observed phenomena in complex systems. Today, available network data provides a rich collection of information about nodes and their interactions. Between a pair of nodes, there could be a large number of different types of interactions, signalling the existence, or the absence, of relevant relations. In contrast, standard network models often focus on simple, unweighted graphs, unable to deal with repeated edges between nodes. Addressing this issue, here I will introduce the generalised hypergeometric ensemble of random graphs (gHypEG). By mapping the classical configuration model to an urn problem, GHypEG provides a flexible modelling framework for rich multi-edge network data. I will further show how different statistical hypotheses can be encoded and tested, highlighting how to overcome the challenges of modelling multi-edge networks.

Bio: Dr. Giona Casiraghi is a senior researcher in the Chair of Systems Design at ETH Zurich. He works on two tightly connected topics - Resilience of Social Organisations and Statistical Models for Network Data. Part of his work revolves around the generalised hypergeometric ensemble of random graphs, gHypEG for short.

Webpage: https://www.sg.ethz.ch/team/giona_casiraghi/

Best regards,

Chakresh, Liubov, Marc

More information on the network seminar: https://interactiondatalab.com/network-seminar/

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