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🎏 Python implementation of famous link analysis algorithms.

I have written three articles to explain the concept and implementation of these three algorithms. Feel free to click on the link!

💻 Getting Started

Get a copy of this repo using git clone

git clone https://github.com/chonyy/PageRank-HITS-SimRank.git

Run the program with dataset provided and default values for damping_factor = 0.15, decay_factor = 0.9 and iteration = 100

python main.py -f 'dataset/graph_1.txt'

Run program with dataset and cusotm parameters

python main.py --input_file 'dataset/graph_1.txt' --damping_factor 0.15 --decay_factor 0.9 --iteration 500

Result

Output on console

The order of the result follows the order of the node value. For example, 1, 2, 5, 7.

Output to files in result folder

A new folder with the name same with the graph will be created in the result directory. Four txt files will be created to store the value printed on the console.

  • graph_HITS_authority.txt
  • graph_HITS_hub.txt
  • graph_PageRank.txt
  • graph_SimRank.txt

Analysis