GitHub - darcy3000/pagerank: Implementing GOOGLE's pagerank algorithm on ~5k html pages . Corpus is wikipedia pages.

darcy3000 / pagerank Public

Notifications You must be signed in to change notification settings
Fork 0
Star 1

Implementing GOOGLE's pagerank algorithm on ~5k html pages . Corpus is wikipedia pages.

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
DOCUMENTATION.txt		DOCUMENTATION.txt
README.txt		README.txt
compute.py		compute.py
f2i.pickle		f2i.pickle
link_graph.png		link_graph.png
output.py		output.py
pagerank.py		pagerank.py
rank.pickle		rank.pickle
trust.pickle		trust.pickle

Repository files navigation

********************IMPLEMENTATION OF PAGERANK ALGORITHM********************

Team Members 
Navneet Kumar:2015A7PS0080H
Rajat Biswas:2015A7PS0107H
Abhijeet Bajaj:2015A7PS0111H
Raunak Ritesh:2015A7PS0160H

Order of running the files:

filename 		Algorithm
pagerank.py		For Visualisation of the web graph
compute.py 		TO compute the rank vector 
output.py 		For querying

You should have browser (preferred Edge) installed for using this for querying.
For running a file command is python [file_name].py

The dataset consist of wikipedia metada and roughly consists of all the realms of querying like science,sports,geography etc.