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Processes on Complex Networks
| Content Provider | TeachEngineering: STEM curriculum for K-12 |
|---|---|
| Author | Jenkinson, Garrett Goutsias, John Frennesson, Susan Jenkinson, Debbie Stuart |
| Copyright Year | 2013 |
| Description | Building on their understanding of graphs, students are introduced to random processes on networks. They walk through an illustrative example to see how a random process can be used to represent the spread of an infectious disease, such as the flu, on a social network of students. Building on their understanding of graphs, students are introduced to random processes on networks. They walk through an illustrative example to see how a random process can be used to represent the spread of an infectious disease, such as the flu, on a social network of students. This demonstrates how scientists and engineers use mathematics to model and simulate random processes on complex networks. Topics covered include random processes and modeling disease spread, specifically the SIR (susceptible, infectious, resistant) model. |
| Language | English |
| Access Restriction | Open |
| Rights Holder | Regents of The University of Colorado The Johns Hopkins University |
| Subject Keyword | Biology Life Science Problem Solving Science and Technology Probability Simulation Neuron Randomness Complex Networks Brain Network Social Network Sir Model Spread of Disease Interaction |
| Content Type | Text |
| Time Required | PT45M |
| Education Level | Class VII Class VIII Class IX Class X |
| Resource Type | Notes |
| Subject | Biology Technical |
