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Alexander Nwala Computer Science Ph.D student, Old Dominion University
Summer Fellow, Harvard Law School Library Innovation Lab
Dr. Michael Nelson, Dr. Michele Weigle Department of Computer Science, Old Dominion University
July 17, 2016
Tweet Visibility Dynamics in a Tweet Conversation Graph
t1 t2 t4
t5
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t8t3
t7
Key
tweettweet id
t1 (parent) replied by t2 (child)
tweet selected
2
t1 t2
Tweet Visibility Dynamics in a Tweet Conversation Graph
t1 (contains #something)
reply to a tweet
(contains #somethingelse)
#Alice’s tweets
Through the browser or API we can see Alice’s tweets: the first tweet (t1), contains #something, the second tweet, is a reply, and the third tweet contains #somethingelse
A
A
A
4
We can see Alice’s tweet (t1) using #something (via browser or API). The hashtag also contains tweets from other users: Bob and Carol
#something
Carol’s tweets
t1 (#something)
Bob’s tweets
Alice’s tweets
(#something)
(#something)
#somethingAlice’s tweets
Bob’s tweets
Carol’s tweets
A
C
B
A A
BB
C
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#something does not “stitch” the conversations across multiple users who replied t1
#something
Carol’s tweet
Bob’s tweet
Alice’s tweet t1 t2 t4
t5
t6
t8t3
t7
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There is no neat way of collecting tweets in a conversation, since the subset of the graph seen depends on what tweet is selected (represented as red dot in the next slide):
From the browser, the selected tweet can see the parent tweets, (plus parent ancestors - above) and children tweets (plus children descendants - below), but NOT sibling tweets (sideways).
From the API, the selected tweet can see the parent tweets (plus parent ancestors - above), but NOT children tweets (plus children descendants - below), and NOT sibling tweets (sideways).
See the next slide to see how the tweet graph changes depending on what tweet is selected:
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t1 t2 t4
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API
Browser
API
Browser
API
Browser
API
Browser
API
Browser
API
Browser
API
Browser
API
Browser
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