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

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...
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
Network Covalent Solids02:18

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Adaptability of Cytoskeletal Filaments01:12

Adaptability of Cytoskeletal Filaments

The cytoskeleton is a complex dynamic structure performing varied functions based on cellular requirements. The adaptability of the individual filaments in the cytoskeleton determines their ability to perform various functions within the cell. It can undergo rapid reorganization during processes like cell division or remain stable for several hours as in the interphase. The adaptability of these filaments depends on stringent regulatory mechanisms. The microfilament and microtubules of the...

You might also read

Related Articles

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

Sort by
Same author

Resilience in collective behaviors of "next generation reservoir computer" oscillators via transmitting signal distortion.

Chaos (Woodbury, N.Y.)·2026
Same author

Nonlinear dynamics of reservoir computing: Theory, realization, and application.

Chaos (Woodbury, N.Y.)·2026
Same author

Chaos, computation and the century of complexity.

Chaos (Woodbury, N.Y.)·2026
Same author

Neural symphony of flow experience: Evidence for high-dimensional metastable dynamics.

NeuroImage·2026
Same author

Mapping Aboriginal Mental Health Journeys Through Psychiatric Care Systems.

JAMA network open·2026
Same author

Full-Order Reconstruction of Simplicial Complex Network from Binary Time Series.

Physical review letters·2026

Related Experiment Videos

Attack resilience of the evolving scientific collaboration network.

Xiao Fan Liu1, Xiao-Ke Xu, Michael Small

  • 1Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong. xfliu@eie.polyu.edu.hk

Plos One
|October 25, 2011
PubMed
Summary

Targeted attacks on evolving scientific collaboration networks are ineffective. This is because the network

Related Experiment Videos

Area of Science:

  • Complex systems science
  • Network science
  • Sociology of science

Background:

  • Complex networks are typically studied as static entities.
  • Natural systems, such as scientific collaboration networks, are dynamic and evolve over time.
  • Understanding network evolution is crucial for designing robust systems and effective attack strategies.

Purpose of the Study:

  • To empirically investigate the response of evolving scientific collaboration networks to targeted attacks.
  • To analyze the impact of removing central nodes (eminent scientists) on network topology and evolution.
  • To assess the efficacy of targeted attack strategies on dynamic complex networks.

Main Methods:

  • Empirical analysis of scientific collaboration networks.
  • Modeling the removal of eminent scientists (hub nodes) as targeted attacks.
  • Observing the topological evolution of collaboration networks post-attack.

Main Results:

  • Scientific collaboration networks exhibit significant local-level evolution, with most collaborations lasting less than a year.
  • The removal of eminent scientists did not significantly alter the topological evolution of their collaborators' networks.
  • Targeted attacks, even on central nodes, proved ineffectual against the evolving collaboration network.

Conclusions:

  • Evolving scientific collaboration networks are resilient to targeted attacks.
  • The ineffectiveness of attacks suggests these networks are traces of knowledge propagation on a larger, redundant social network.
  • Underlying structural redundancy protects evolving networks against targeted disruptions.