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Sets-Nodes-Edges: Representing Complex Networks in Graph Theory
| Content Provider | TeachEngineering: STEM curriculum for K-12 |
|---|---|
| Author | Jenkinson, Garrett Goutsias, John Frennesson, Susan Jenkinson, Debbie Stuart |
| Copyright Year | 2013 |
| Description | Students learn about complex networks and how to represent them using graphs. They also learn that graph theory is a useful mathematical tool for studying complex networks in diverse applications of science and engineering, such as neural networks in the brain, biochemical reaction networks in cells, communication networks, such as the internet, and social networks. Students learn about complex networks and how to represent them using graphs. They also learn that graph theory is a useful mathematical tool for studying complex networks in diverse applications of science and engineering, such as neural networks in the brain, biochemical reaction networks in cells, communication networks, such as the internet, and social networks. Topics covered include set theory, defining a graph, as well as defining the degree of a node and the degree distribution of a graph. |
| 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 Degree Distribution of A Graph Neuron Complex Networks Set Theory Brain Network Social Network Degree of A Node Spread of Disease Interaction Internet |
| Content Type | Text |
| Time Required | PT45M |
| Education Level | Class VII Class VIII Class IX Class X Class XI Class XII |
| Resource Type | Notes |
| Subject | Biology Technical |
