Friendship Recommendation System based on a Social Network Topological Analysis

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Friendship Recommendation System based on a Social Network Topological Analysis
Image of the project Friendship Recommendation System based on a Social Network Topological Analysis
Short Description: Work tries to define and apply several automatic methodology for creating a Friendship Recommendation System on an Online Social Network.
Coordinator: MarcoColombetti (colombet@elet.polimi.it)
Tutor: DavidLaniado (david.laniado@gmail.com), RiccardoTasso (tasso@elet.polimi.it)
Collaborator:
Students: MicheleMonti (michimonti@tiscali.it)
Research Area: Social Software and Semantic Web
Research Topic: Social Network Analysis
Start: 2009/07/27
End: 2010/05/03
Status: Closed
Level: Ms
Type: Thesis

Project short description

Work tries to define and apply several automatic methodology for creating a Friendship Recommendation System on an Online Social Network.

Dates

  • Start date: 2009/07/27
  • End date: 2010/05/03

People involved

Coordinator

Tutors

Students worked

Project Description

With the rising of Web 2.0, evolution of the traditional static Web born with the advent of Internet, that comprised only pages defined without interaction between the virtual world and the physical Person, Social Network online are being more and more diffused. They allow to find online lots of Persons, like in real life, with virtual ties of friendship.

This job of Thesis provides to model techniques for create Friendship Recommendation for an active user in an Online Social Network. It is based on three fundamental supports:

  • The collection of the Candidates to suggest;
  • The generation of the Personal Network of analized user;
  • The construction of the Recommendation Ranking through using five metrics based on Topological analysis of a Network.

All this has been thought before from a theoretical point of view and then implemented through different Modules Software that render all automated.

About Project

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