part five

Case Study 5 Predicting Future Friendships From Social Network DataHeadlines

 

Problem Statement

Welcome to FriendHook, Silicon Valley’s hottest new startup. FriendHook is a Social Networking App for college undergrads. In order to join, an undergrad must scan their college id to prove their affiliation. After approval, undergrads can create a FriendHook profile, which lists their Dorm name and scholastic interests. Once a profile is created, an undergrad can send "friend requests" to other students at their college. A student who receives the friend request can either approve or reject that request. Once a friend request is approved, then the pair of students are officially "FriendHook friends". Using their new digital connection, FriendHook friends can share photographs, collaborate on course-work, and keep each other up to date on the latest campus gossip. The FriendHook app is a hit. It’s utilized in hundreds of college campuses worldwide. The user-base is growing and so is the company. You are FriendHook’s first data science hire! Your first challenging task will be to work on FriendHook’s friend recommendation algorithm.

Introducing the Friend-of-a-Friend Recommendation Algorithm

Predicting User Behavior

Dataset Description

The Profiles Table

The Observations Table

The Friendships Table

Overview