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- W3033453477 abstract "This activity will take about 60 minutes. It focuses on random walks on networks, and connections with Google's algorithm. The network consists of vertices and paths (directed edges) between them. At each step of random walk, you choose with equal probability one of paths that leaves current vertex. The long-term probabilities of this random walk, which can be thought of as the percentage of visits to each vertex, correspond to PageRank used by Google to rank web search results. Students will learn about random walks on networks and explore their behavior via i) simulation with dice and ii) drawing tree diagrams. Connections with are made. They are then asked to consider networks with structure that is problematic for (eg absorbing state) and identify those problems." @default.
- W3033453477 created "2020-06-12" @default.
- W3033453477 creator A5058092350 @default.
- W3033453477 date "2019-12-04" @default.
- W3033453477 modified "2023-09-23" @default.
- W3033453477 title "The math of networks: Random walks and Google PageRank" @default.
- W3033453477 hasPublicationYear "2019" @default.
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