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Related Experiment Video

Updated: Jun 1, 2026

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

Extreme events on complex networks.

Vimal Kishore¹, M S Santhanam, R E Amritkar

¹Physical Research Laboratory, Navrangpura, Ahmedabad, India.

Physical Review Letters

|June 4, 2011

Summary

This summary is machine-generated.

Small degree nodes in networks are surprisingly more prone to extreme events than hubs. This study uses a random walk model to analyze network transport, offering insights for designing robust network infrastructure.

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Last Updated: Jun 1, 2026

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

Area of Science:

Network science
Complex systems analysis
Transport phenomena

Background:

Extreme events, such as traffic jams and floods, frequently occur on various types of networks.
Understanding the dynamics of these events is crucial for network resilience and management.

Purpose of the Study:

To investigate the occurrence and characteristics of extreme events on networks using a random walk model.
To identify which network components are most susceptible to extreme events.

Main Methods:

Employing a random walk model to simulate transport processes on networks.
Utilizing analytical and numerical methods to derive results for extreme events.
Analyzing recurrence time distributions and probability scaling for extreme events.

Main Results:

A key finding is that nodes with low degrees (non-hubs) are more likely to experience extreme events compared to high-degree nodes (hubs).
The study characterizes the recurrence time distribution and scaling of extreme event probabilities.
The observed phenomenon is robust across different network structures.

Conclusions:

The findings challenge conventional network design principles that often focus on protecting hubs.
Results provide a basis for revising network design strategies to enhance resilience against extreme events.
The study suggests incorporating insights about small-degree node vulnerability into future network infrastructure planning.