Networks
Everyone
- 9 videos | 1h 8m 26s
- Includes Assessment
Learn what are the common descriptive measures of a network, such as centrality, closeness, and betweenness. Also find out what are the standard stochastic models for networks, such as: Erdos-Renyi, preferential attachment, infection models, notions of influence, etc.
WHAT YOU WILL LEARN
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Gain a basic understanding of networks
Know exactly what a network is
Know how to represent a network
Know how to use various measures of centrality for nodes
Know how to use other centrality measures presented -
Understand various structural characteristics of networks
Understand what network models are
Know what epidemic or contagion models are
Know how to maximize influence over a network
IN THIS COURSE
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6m 17sFind out what a network is and how it relates to data science. FREE ACCESS
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6m 32sLearn about some examples of networks FREE ACCESS
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3. Representing A Network4m 59sLearn how to represent a network. FREE ACCESS
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4. Various Centrality Measures Of A Node10mNow that you know how to represent a network as an adjacency matrix, learn how to measure the centrality of a node. FREE ACCESS
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5. Other "Spatial" Centrality Measures6m 46sLearn more centrality measures and how to use them. FREE ACCESS
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6. Global Network Statistics8m 50sLearn more about the characteristics of a network FREE ACCESS
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7. Network Models10m 32sNow that you know the basics of networks, learn about network models and how they work FREE ACCESS
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8. Stochastic Models On Networks7m 31sNow that you have learned a lot about network structure, learn about a basic class of processes on networks. FREE ACCESS
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9. Influence Maximization6m 59sLearn how to maximize the spread of information over a network by picking the correct nodes. FREE ACCESS
