Contenu connexe Similaire à Classifying Twitter Users Similaire à Classifying Twitter Users (10) Classifying Twitter Users2. How can you classify social
network users?
What kinds of traits do they have?
How does information spread on
twitter?
4. This just in: following spammers gets
you spammed
“When I unfollowed 106,000 people all
my spam just stopped. Dead. “
5. Mavens
Discover new information
Connectors
Spread information to new communities
10. Twitter User Engagement
80
70
60
Mavens
Number of users engaging
50
Connectors
40
30
20
10
0
0 10 20 30 40 50 60 70 80
Number of users engaged
11. Twitter User Engagement
80
70
60
Number of users engaging
50
40
30
Ineffectual
20
10
0
0 10 20 30 40 50 60 70 80
Number of users engaged
Community-at-large
13. Magnitude
r engaged 2 engaging 2
How engaged is this user with the
service?
14. Angle
engaged
sin
1
r
What kind of a user this is
15. 90°
Maven
60°
Connector
If magnitude > 15
40°
Ineffectual
0°
16. Meme flow:
Larger
community
Connector
Maven
Source
(anywhere)
Time
17. 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