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Test Questions

Complex adaptive systems

  1. What is an information system?
  2. What is a complex adaptive system (CAS)?
  3. What are the main differences between complex and complicated systems?
  4. What is an emergent property?
  5. What is positive and negative feedback in a CAS?
  6. When is a CAS an “open system”?
  7. When should an information system be modeled as a CAS?
  8. Why is a visual model useful when analyzing an emergent property?
  9. What are some important tools used for CAS analysis?
  10. What is catastrophic failure in a CAS?

Homogeneous and inhomogeneous networks

  1. What are homogeneous and inhomogeneous networks?
  2. What are sparse and dense networks?
  3. What is a proximity graph?
  4. What is a random graph?
  5. What is a generalized random graph?
  6. What is a small-world network?
  7. What is the preferential attachment model (or BA network model)?
  8. What is a power-law distribution?
  9. What does a power-law distribution look like in a log-log plot?
  10. What is a hub?

Network components and robustness

  1. What is a network component?
  2. What is a giant component?
  3. Why are we interested in giant components?
  4. When does a random network have a giant component?
  5. When does a generalized random network have a giant component?
  6. How does a giant component evolve?
  7. Is a network likely to have multiple giant components?
  8. Is the BA model robust or fragile to removal of hubs?
  9. Is the BA model robust or fragile to removal of random nodes?
  10. What does the BA model tell us about the robustness of the Internet?

Epidemiological models

  1. What is an epidemic?
  2. What are some common examples of epidemics?
  3. What is the susceptible-infected-susceptible (SIS) model?
  4. What is the susceptible-infected (SI) model?
  5. What is the spreading rate of a network?
  6. When is there spreading in homogeneous and inhomogeneous networks?
  7. How do hubs affect spreading?
  8. What is an information monoculture?
  9. What is software diversity?
  10. How can a monoculture be modified to prevent spreading?

Network measurements

  1. What is a shortest path between two nodes?
  2. What is the average path length (APL)?
  3. What happens to the APL when hubs are removed in a BA network?
  4. What is the diameter of a network?
  5. What is the clustering coefficient of a node?
  6. What is the average clustering coefficient?
  7. Do social networks tend to have small or large clustering coefficients?
  8. What is (dis)assortative mixing?
  9. What is betweenness centrality of a node?
  10. What is closeness centrality of a node?

1D and 2D cellular automata

  1. What are one-dimensional (1D) cellular automata (CA)?
  2. How are Wolfram's four CA classes different?
  3. Can you predict the behavior of CAs?
  4. What is so special about CA rule 110?
  5. Why can the study of “noisy” CAs tell us something about diversity?
  6. What is the two-dimensional (2D) WATOR model?
  7. Why is the WATOR model showing cyclic behavior?
  8. What is the predator-predator model?
  9. why is it important that a model is based on real-world data?
  10. How can a model be tested?

Black and gray swan events

  1. What is a major stakeholder?
  2. What are some examples of major stakeholders?
  3. What is a black swan event?
  4. What are some examples of black swans?
  5. What is a gray swan event?
  6. What are some examples of gray swan events?
  7. What does it mean that back and gray swans are outliers?
  8. Are all large-impact events swans?
  9. What is the main difference between Normal and fat-tail distributions?
  10. Why is it dangerous to assume that incidents in a CAS have a Normal distribution?

Prediction

  1. Can black swans be identified?
  2. Can gray swans be identified?
  3. Can we determine the probability of swans?
  4. Can we determine the impact of swans?
  5. Why are swans ignored?
  6. What is negative responsibility?
  7. What is a “too big to fail” system?
  8. What are the two main types od systems susceptible to swans?
  9. Why should swans be mitigated during the design phase of system?
  10. Why must a risk management team have a diverse skill set?

NetLogo and Gephi

  1. What is agent-based modeling?
  2. What are some advantages of agent-based modeling?
  3. What are some limitations of agent-based modeling?
  4. What is interactive visualization?
  5. What are some advantages of interactive visualization?
  6. What are some limitations of interactive visualization?

Last updated 09.05.13. Webmaster KJH

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