Min HuRebecca Yu

Nayeoung Kim

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Three Questions◦ How do numbers of videos uploaded by users

affect the number of subscriber each user has?◦ Do numbers of videos uploaded by users follow

power law?◦ Do people have the same interests as others if

they are in the same community?

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Picking 10 categories on Youtube◦ Autos & Vehicles, Comedy, Entertainment, Film & Animation,

People & Blogs, Music, News & Politics, Pets & Animals, Sports, and Travel & Events

Look at one community from each Category. (Based on geography location, number of members, common interest, etc)

◦ Number of Videos a User Uploaded◦ Number of Subscribers a User Have◦ Users to Subscriber Network◦ Number of Friends a User Have◦ User to Friend Network◦ Individual and Overall Interest for Videos in

Different Categories.

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Correlation Coefficient: 0.312451 But

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More videos, increasing number of users with a higher number of subscribers

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Correlation Coefficient: 0.550248

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More subscribers, increasing number of friends

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Many Videos Uploaded by Few Users

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Most Videos are Uploaded by Few Users

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Most Subscribers Subscribing to Few Users

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Most Subscribers Subscribing to Few Users

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Most People are Friends to Few Users

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Most Videos Uploaded by Few Users

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Real network has Higher CC Higher centrality measures Lower avg. shortest path

Low CC Avg. shortest path is around 3.5-5.5(exclude

unreachable pairs)

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Real network has Higher CC Higher centrality measures Lower avg. shortest path

# of Vertices: 658

Lower CC Avg. shortest path is around 3.2-4.5(exclude

unreachable pairs)

Real network has Higher CC Higher centrality measures Lower avg. shortest path

# of Vertices: 723

# of Vertices: 4165

The Clustering Coefficient of the network of

member's friends in music group increase from 0.07 to 0.76

Low CC Avg. shortest path is around 3.5-5.5(exclude

unreachable pairs)

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Real network has Higher CC Higher centrality measures Lower avg. shortest path

# of Vertices: 658

Lower CC Avg. shortest path is around 3.2-4.5(exclude

unreachable pairs)

Real network has Higher CC Higher centrality measures Lower avg. shortest path

# of Vertices: 723

# of Vertices: 4165

The Clustering Coefficient of friend network for music group increase from 0.07 to 0.76

The most popular categories overall are Entertainment and Music

If exclude these two categories, users are most interested in the category of their own community

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33

Pets & Animals41.4%

Pets & Animals41.4% News & PoliticsNews & Politics

68.7%68.7%News & PoliticsNews & Politics

68.7%68.7%

People & BlogsPeople & Blogs12.3%12.3%

People & BlogsPeople & Blogs12.3%12.3%

Travel & EventsTravel & Events12.2%12.2%

Travel & EventsTravel & Events12.2%12.2%

Sports67.2%Sports67.2%

Comedy67.2%

Comedy67.2% Film &

Animation85.5%

Film & Animation

85.5%

Auto & Vehicles85.5%

Auto & Vehicles85.5%

Music82.7%Music82.7%

Entertainment61.6

Entertainment61.6

Identify how people are linked through videos

Find friends’ friend Run more groups on people’s interest and

visualize how people’s interest are connected

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