Related Experiment Video
Updated: Nov 20, 2025
05:30
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
944
Recovery patterns and physics of the network.
Alireza Ermagun1, Nazanin Tajik2
1Department of Civil and Environmental Engineering, Mississippi State University, Mississippi State, MS, United States of America.
Plos One
|January 19, 2021
Summary
This study introduces a new way to measure network recoverability, showing how network size and topology impact system recovery after disruptions. Understanding these factors is key to designing more resilient complex systems.
Area of Science:
- Complex systems science
- Network science
- Systems engineering
Background:
- The increasing interconnectedness of global systems amplifies the impact of resilience loss on health, economy, and environment.
- Network science has been used to understand complex system resilience against various attacks.
- The relationship between network topology and system recovery remains underexplored.
Purpose of the Study:
- To investigate the interplay between network topology and system recoverability.
- To introduce a novel paradigm and measure for identifying network recovery behavior.
- To enhance the understanding of complex systems' resilience and recovery dynamics.
Main Methods:
- Developed a new 'recoverability measure' to quantify system recovery.
- Analyzed recovery behavior across 16 distinct network topologies.
- Examined the influence of network size and topology on recovery patterns.
Main Results:
- Network recovery behavior and recoverability are functions of network size and topology.
- Small networks show homogeneous recovery; larger networks exhibit dispersed recovery patterns.
- Increased network connectivity enhances recoverability, while increased accessibility decreases it.
Conclusions:
- Introduced a novel recoverability measure and recovery behavior paradigm for complex networks.
- Demonstrated that network size and topology significantly influence system recovery dynamics.
- Provided insights for designing more recoverable networks and understanding post-disruption recovery.
Related Concept Videos
01:25Multimachine Stability
296
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
296
01:24Muscle Recovery and Fatigue
3.6K
Muscle fatigue refers to the decline in a muscle's ability to maintain the force of contraction after prolonged activity. It primarily stems from changes within muscle fibers. Even before experiencing muscle fatigue, one may feel tired and have the urge to stop the activity. This response, known as central fatigue, occurs due to changes in the central nervous system, namely the brain and spinal cord. While there is no single mechanism that induces fatigue, it may serve as a protective...
3.6K
01:25Network Function of a Circuit
470
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
470
01:17Bonanno's Theory of Grieving
460
Grieving is a complex psychological and emotional process that varies significantly among individuals. George Bonanno's research on bereavement identified four distinct patterns of grieving, offering a nuanced understanding of how people cope with significant loss, such as the death of a spouse, over extended periods. These patterns — resilience, recovery, chronic dysfunction, and delayed grief — highlight the diversity in emotional responses and adaptive mechanisms.
Resilience
Resilience
460
01:27Traveling Waves: Lossless Lines
260
The provided content explores the behavior of traveling waves on single-phase lossless transmission lines. It begins with a single-phase two-wire lossless transmission line of length Δx, characterized by a loop inductance LH/m and a line-to-line capacitance C F/m. These parameters result in a series inductance LΔx and a shunt capacitance CΔx.
260
01:01Neuroplasticity
1.2K
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
1.2K