Friends, Foes, and Factions: The Math Behind Signed Networks
Many networks include both allies and adversaries, excitations and inhibitions, agreements and disagreements. Signed networks offer a formal way to represent these interactions, but negative edges introduce many challenges in standard notions like communities, distances, and centralities. In this talk, I will present the most common concepts and methodologies used in the study of signed networks, with a focus on structural balance and mesoscale structures. I will then introduce the Gremban expansion, a method that transforms signed networks into unsigned ones without information loss. This framework enables a principled separation between communities and factions, addressing the limitations of existing algorithms (which typically recover only factions)
This IFISC Seminar will be broadcasted in the following zoom link: https://us06web.zoom.us/j/89027654460?pwd=Wg9TYMPqqP2ipfj2JVvEagmzaTw29c.1
Coffee and cookies will be served 15 minutes before the start of the seminar
Detalles de contacto:
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