fragile online relationship: a first look at unfollow dynamics in twitter
DESCRIPTION
The 29th international conference on Human Factors in Computing Systems (CHI)TRANSCRIPT
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Fragile Online Relationship:A First Look at Unfollow Dynamics in Twitter
Haewoon Kwak Hyunwoo Chun Sue MoonDepartment of Computer Science, KAIST
The 29th international conference on Human Factors in Computing Systems (CHI)
10th May 2011
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• Two basic processes in social network evolution
• But we don’t talk about breakup
Building and breaking up a relationship
??
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• Many records of relationship establishment– Sending and accepting a friend request– Writing a paper together for the first time– Making a call for the first time
• Breaking up a relationship– Hard to define and capture
Lack of relationship breakup data
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• Disappearance of e-mail exchange
A proxy for relationship breakup
But they were doing instant messaging.
“Alice & Bob had exchanged e-mails frequently. At some point they didn’t do any more.”
A proxy is not always accurate!
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• Intentional action to break a relationship• No need for an approval• No notification to the unfollowed
Unfollow in Twitter
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• RQ1: What are the characteristics of unfollow?• RQ2: Why do people unfollow?
Research questions
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• Not feasible to crawl the entire Twittersphere• Collecting 1.2M Korean-speaking users identified
by Korean in tweets, bio, location, or name
Identify a group with common culture
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• Collect daily snapshots of follow networks– G(I): June 25th to July 15th, 2010– G(II): August 2nd to August 31st, 2010
• Compare two consecutive follow networks and detect removed relationships
Obtaining unfollow records
June 25th June 26th
…Removed relationship
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• Increasing # of users– G(I): 718,077 → 870,057 +7,599/day– G(II): 956,261 → 1,203,196 +8,515/day
• Increasing (high) reciprocity– G(I): 56 → 58%– G(II): 61 → 62%
• Increasing avg. # of followees– 59.7 → 75.7
Korean follow network grew fast
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• RQ1: What are the characteristics of unfollow?• RQ2: Why do people unfollow?
Research questions
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• 43% of active users unfollow at least once during 51 days
• Average number of unfollows per person– 15.4 in G(I)– 16.1 in G(II)
People unfollow frequently
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• Reciprocity of relationships• Duration of a relationship• Followee’s informativeness• Overlap of relationships
Factors that correlate w/ unfollow
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One-way relationships are fragile
P(broken) = 0.1228
P(broken) = 0.0529
P(remaining will be broken|one is broken) = 0.2345
<<
One-way
Reciprocal“Emotional closeness”
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Newer relationships are more fragile
Is a user less likely to unfollow those whom the user has been following for some time?
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Informativeness of users
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Non-informative relationships are fragile
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Strong ties & weak ties
http://bokardo.com/archives/weak-ties-and-diversity-in-social-networks/
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Weak ties are fragile
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• 85.6% of relationships do not involve any single reply, mention, or retweet– 96.3% involve 3 or fewer
• People just subscribe to others’ tweets passively
No interaction ≠ breakup
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• RQ1: What are the characteristics of unfollow?• RQ2: Why do people unfollow?
Research questions
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22 online & face-to-face interviews
11 Male, 11 Female
• Recruited by word-of-mouth• Semi-structured• Logging & camera recording
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1. Burst tweets2. Tweets about uninteresting topics3. Tweets about mundane details of daily life
• Automatically generated tweets (4sq)
4. Tweets about political issues
Top reasons in unfollow
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Application: Practical usesBurst tweets, automatically generated tweets, …
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• Existing models for growing networks deal with new relationship formation only– Preferential attachment model– Forest fire network model
• We add another dimension to network evolution models from the perspective of relationship breakup
Application: Theoretical models
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• Generalization of this work– One user group study
• Online relationship not equal to social friendship
Discussion
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• Unfollow is a clear sign of breaking a relationship– None of interaction is not a good indicator of breaking
a relationship due to user’s passivity in Twitter
• The first study of the unfollow behavior– Quantitative data analysis revealed its characteristics– Qualitative interviews found its motivation
Summary
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Backup slides
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How to know the reciprocity of follows
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• Burst tweets are likely to lead unfollow
Interviews confirmed by data
Pearson corr. = 0.5833
Followee < 200
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