Determine important users in a Friend graph using PageRank.
The data was gathered from Yelp Dataset challenge. It's a collection of JSON documents. Each JSON document represents an user in the below format:
{
"user_id": "encrypted user id",
"name": "first name",
"review_count": number of reviews,
"yelping_since": date formatted like "2009-12-19",
"friends": ["an array of encrypted ids of friends"],
"useful": "number of useful votes sent by the user",
"funny": "number of funny votes sent by the user",
"cool": "number of cool votes sent by the user",
"fans": "number of fans the user has",
"elite": ["an array of years the user was elite"],
"average_stars": floating point average like 4.31,
"compliment_hot": number of hot compliments received by the user,
"compliment_more": number of more compliments received by the user,
"compliment_profile": number of profile compliments received by the user,
"compliment_cute": number of cute compliments received by the user,
"compliment_list": number of list compliments received by the user,
"compliment_note": number of note compliments received by the user,
"compliment_plain": number of plain compliments received by the user,
"compliment_cool": number of cool compliments received by the user,
"compliment_funny": number of funny compliments received by the user,
"compliment_writer": number of writer compliments received by the user,
"compliment_photos": number of photo compliments received by the user,
"type": "user"
}