Volume exclusion in physical networks
Visiting speaker
Luka Blagojević
PhD student, Department of Network and Data Science, Central European University, Vienna
Past Talk
Hybrid talk
Wednesday
Nov 30, 2022
Watch video
2:00 pm
177 Huntington Ave
Virtual
11th floor
Online
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Physical networks are networks composed of volume-occupying objects embedded in three-dimensional space. For example, a biological neural network is composed of neurons that are physical objects, which also have a corresponding connectome network that encodes their synaptic connections. Due to technological advances, data describing the full three-dimensional structure of physical networks are becoming increasingly available, providing an opportunity to ask fundamental questions about the relationship between physical objects and network structures. We investigate the influence of volume exclusion by introducing several link-based measures that capture different aspects of their physicality, such as their shape or size. Afterward, the relationship between these physical link measures and standard network centralities is investigated for each empirical network. Finally, we create model physical networks and compare them to empirical networks in order to achieve a better understanding of these relations. For many physical networks, the most physically confined links tend to have important network roles, which could provide additional perspectives on physical network growth processes and their evolved function.

About the speaker
About the speaker
Luka Blagojević is a 3rd year PhD student in the Department of Network and Data Science at Central European University, Vienna. He obtained his baccalaureate and master's degrees at the Faculty of Physics, University of Belgrade, with an emphasis in Statistical Physics. His research areas include the topics of Agent-based Modeling, Science of Science, and Temporal Networks. His current research as a PhD student is in the area of physical networks, with his PhD supervisor, Márton Pósfai, within the DYNASNET project. In his future research, he aims to continue working on domain problem-driven and innovative research projects. In his free time, he likes bouldering, martial arts, and trying interesting food.
Luka Blagojević is a 3rd year PhD student in the Department of Network and Data Science at Central European University, Vienna. He obtained his baccalaureate and master's degrees at the Faculty of Physics, University of Belgrade, with an emphasis in Statistical Physics. His research areas include the topics of Agent-based Modeling, Science of Science, and Temporal Networks. His current research as a PhD student is in the area of physical networks, with his PhD supervisor, Márton Pósfai, within the DYNASNET project. In his future research, he aims to continue working on domain problem-driven and innovative research projects. In his free time, he likes bouldering, martial arts, and trying interesting food.