https://github.com/i7t5/pagerank

A Scala implementation of Google's classic PageRank algorithms for COMP 424 Parallel Computing, Spring 2025
https://github.com/i7t5/pagerank

functional-programming scala scala3

Last synced: 7 months ago
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A Scala implementation of Google's classic PageRank algorithms for COMP 424 Parallel Computing, Spring 2025

• Host: GitHub
• URL: https://github.com/i7t5/pagerank
• Owner: I7T5
• Created: 2025-03-12T21:09:03.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2025-03-29T02:16:07.000Z (8 months ago)
• Last Synced: 2025-03-29T03:22:55.523Z (8 months ago)
• Topics: functional-programming, scala, scala3
• Language: Scala
• Homepage:
• Size: 16.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.txt

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README

          
You can check your solution against mine by running the ProgLangSearch.jar file.

As you do so, please keep in mind that our results for PageRank in particular 

may differ since our algorithm is not deterministic. In order to run the 

provided executable jar file, you must navigate to the same directory as the 

file in your terminal and enter a command in the format listed below.

java -jar ProgLangSearch.jar (equal|indegree|pagerank) (count|frequency|tf-idf) (arithmetic|geometric|harmonic)

Example Commands:

    java -jar ProgLangSearch.jar equal count arithmetic

    java -jar ProgLangSearch.jar pagerank tf-idf geometric

If you are unable to get all the functions working for your project, you may 

write your report on the basis of the output of my solution, but you must note 

that you have used my solution and will not receive full credit.