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371 fremføring

Verdens kuleste og beste fremføring i INFO371 :p
by

Maiken Beate Fjellanger

on 5 March 2014

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Transcript of 371 fremføring

Back end
Methods
Motivation
The Application
Communities of people who like the same movies
All the information comes from Facebook
CFI Graph
Lean startup
Started with K-median
Expanded with modularity
Create a Facebook app
Expand our knowledge about graph theory
Learn practical application of graph theory
Python
NetworkX
Community.py
Download data
Jaccard Similarity
K-median
Modularity
Export to JSON file
Front end

HTML and JavaScript
D3 force directed graph
JS-Framework for complex and beautiful graphs
Toastr
For user information
K-median
Modularity
Future
Results
User interface improvements
Tool for showing the user the progress of the analysis
Make the user-node more visible
Program improvements
Allow the user to see which common movies are shared in communities
Making the user choose the cut-off percentage
Remove single nodes from the graph
Technical Architecture
Technical
Work Flow
Push to bitbucket git repository:

Automatic deploy to webserver
=> facebook app
Common Film Interest Graph
Facebook app
Web Server (Ubuntu 13.04) with
SSL, DNS,
Apache + mod_wsgi
Flask python framework
Full transcript