Classifying Twitter Users
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Classifying Twitter Users
David Horn
Cal Poly
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How can you classify social network users?
What kinds of traits do they have?
How does information spread on twitter?
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Power graph analysis kinda fails
Twitter is no more a social network than IRC
Following is cheap
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This just in: following spammers gets you spammed
“When I unfollowed 106,000 people all my spam just stopped. Dead. “
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Mavens
Discover new information
Connectors
Spread information to new communities
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Ineffectual
Heavily engaged, but do not get a strong response from the community
Consumer
Less engaged with the service
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Engagement Metrics
Engaged - How often others @mention a user
Engaging - How often a user @mentions others
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0
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Enga
ged
by
Engaging
Twitter User Engagement
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0 10 20 30 40 50 60 70 80
Enga
ged
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Engaging
Twitter User Engagement
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Nu
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rs e
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Number of users engaged
Twitter User Engagement
Connectors
Mavens
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Number of users engaged
Twitter User Engagement
Ineffectual
Community-at-large
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Convert that to polar coordinates
(x,y) => (r,θ)
engaging
engaged
r
θ
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Magnitude22 engagingengagedr
How engaged is this user with the service?
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Angle
What kind of a user this is
r
engaged1sin
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If magnitude > 1560°
40°
0°
90°
Connector
Maven
Ineffectual
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Meme flow:
Source (anywhere)
Maven
Connector
Larger community
Time
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For any particular meme, you can expect a traffic breakdown:
• 10% from trend leaders
• 20% from community leaders
• 30% from the overall community
• 40% from ineffectual users
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Reach
Reach = r/engaging*followers
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Chance a meme will spread
P(spread) = θ/90
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http://engagerank.com
Try it out!
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