smehra3 / networkx-graphs

NetworkX-Graphs

Eight employees at a small company were asked to choose 3 movies that they would most enjoy watching for the upcoming company movie night. These choices are stored in the file Employee_Movie_Choices.txt. A second file, Employee_Relationships.txt, has data on the relationships between different coworkers. The relationship score has value of -100 (Enemies) to +100 (Best Friends). A value of zero means the two employees haven't interacted or are indifferent. Both files are tab delimited.

Using NetworkX, loaded and plotted:

• Bipartite graph from Employee_Movie_Choices.txt
• Weighted Projected graph and saw how many movies different pairs of employees have in common

Found the Pearson correlation ( using DataFrame.corr() ) between employee relationship scores and the number of movies they have in common. If two employees have no movies in common it was treated as a 0.