Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Thevinin's Theorem01:15

Thevinin's Theorem

Thévenin's theorem plays a pivotal role in electrical circuit analysis, offering a solution to the challenges posed by variable loads within a circuit. In practical applications, it is common to encounter circuits where certain elements remain fixed while others fluctuate, often referred to as the "load." A typical household electrical outlet serves as a prime example of a variable load, as it can be connected to a variety of appliances, each with its own unique electrical characteristics.
Stability of structures01:14

Stability of structures

In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
Network Function of a Circuit01:25

Network Function of a Circuit

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.
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Switching exploration modes in human mobility.

Journal of the Royal Society, Interface·2026
Same author

Persistent collaboration as a structural signature of scientific resilience.

PNAS nexus·2026
Same author

A scalable and generic framework for city-wide traffic prediction with large language model.

Nature communications·2026
Same author

Design of robust networks via reinforcement learning prompts the emergence of multi-backbones.

Nature communications·2026
Same author

Unveil Fundamental Graph Properties for Neural Architecture Search.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Coordination of network heterogeneity and individual preferences promotes collective fairness.

Patterns (New York, N.Y.)·2025
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Related Experiment Videos

Robustness of interdependent networks under targeted attack.

Xuqing Huang1, Jianxi Gao, Sergey V Buldyrev

  • 1Center for Polymer Studies and Department of Physics, Boston University, Boston, Massachusetts 02215, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|July 30, 2011
PubMed
Summary
This summary is machine-generated.

Protecting highly connected nodes, a strategy effective for single networks, paradoxically weakens interdependent networks. Coupled scale-free networks are more vulnerable to targeted attacks than previously understood.

Related Experiment Videos

Area of Science:

  • Network science
  • Complex systems analysis
  • Cybersecurity

Background:

  • Interdependent networks are susceptible to cascading failures initiated by node failures.
  • Previous research primarily examined the impact of random node failures.
  • Targeted attacks on critical nodes represent a significant threat to network stability.

Purpose of the Study:

  • To investigate the robustness of interdependent networks against targeted attacks on high- and low-degree nodes.
  • To develop a general technique for analyzing targeted attacks in interdependent networks.

Main Methods:

  • Introduction of a novel technique mapping targeted attacks to random attacks in transformed interdependent networks.
  • Analysis of coupled scale-free (SF) networks under targeted attack scenarios.

Main Results:

  • Coupled SF networks exhibit significantly higher vulnerability (pc > 0) compared to single SF networks (pc = 0) under targeted attacks.
  • Protecting highly connected nodes, while beneficial for single networks, increases the vulnerability of interdependent networks.

Conclusions:

  • Standard defense strategies like protecting high-degree nodes are ineffective for interdependent networks.
  • Interdependent networks are inherently more fragile and difficult to defend against targeted disruptions.