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TODAY! Physics, Astronomy & Geosciences Seminar

Quantifying Resilience Using Information-Based Network Analysis: A Case Study of Samothraki, Greece

Graham Hyde, Applied Physics M.S
Friday, December 1, 2023
11:00am – 12:00pm
SC 1230

The ability to robustly quantify and model the state of a self-organizing system is becoming increasingly valuable with the growing complexity of today’s system structures. Network theories have been extended to socio-economic systems to investigate how they distribute and utilize materials and energy, resulting in literature examining macroscopic system behavior with goals of improving overall sustainability. A recent system analysis technique called the “QtAC” method overcomes data limitation by quantifying system interactions with information. I will discuss our research on a case study evaluating the system health of Samothraki, Greece by applying network analysis.  We examined two approaches: flow-based and information-based analysis. Results indicate that the QtAC method does not accurately depict the Samothraki network structure but does capture evolutionary behavior that has to date been theoretical and qualitative.

Categorised in: General

This post was written by Charles, Amanda G.