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On Twitter Conversation
Transcript of On Twitter Conversation
If person A puts “@B” it designates that A is addressing the tweet to B specifically, but B is not the only one who can see the message (even people who do not follow A could see this message).
vertices: 66877 --- 109213 (87624),
edges: 123398 --200295 (158380)
© University of Reading 2012
On Twitter conversations
daily tweets number
An individual daily maximum -590;
for all 28 days - 5,604;
the mean daily tweet rate -0.9410.
Identify multi-users exchanges;
Determine how many users typically engage in them;
Identify their time-frame and pace;
Calculate how balanced they are.
Determine how many users typically engage in them
Users involvement in different groups
9hrs magic number for distinct conversations
conversations are mostly fast-paced and balanced
multi-user exchanges can be found thanks to data sparsity, similar threshold of 9hrs
most exchanges dominated by 1 or 2 users
but also some evidence of balanced (up to 5 ) multi-user exchange
FFriday clustering coefficients visible
Mean maximum conversation contribution as a function of minimum contribution.
Distribution of time intervals between consecutive tweets from individual users
joint work with Jonathan Ward, University of Leeds
University of Reading
``everything is about conversation and not about broadcasting''
"Those pauses, like the spaces between PowerPoint slides, become a metaphor for the gaps between what we mean and what we say"
Most of the previous work about information flow and retweeting...
Most of the previous network analysis focused on followers...
"A visit from the Goon Squad" by Jennifer Egan, 2011
Mentions network - main characteristics
The data was collected by Datasift.
to describe main characteristics of Twitter "chatter": pace, timing, balance
ABAB or AABB
Time difference threshold
Distribution of conversation balance
Conversation- subsequence with the contribution from all parties
~9hrs, obtained from the data
Colin Singleton from Counting Lab
Horizon Hub EPSRC grant EP/G065802/1
C. Honeycutt and S. C. Herring, “Beyond microblogging: Conversation
and collaboration via twitter,” in Proceedings of the Forty-Second
Hawai’i International Conference on System Sciences, Los Alamitos,
A. Ritter, C. Cherry, and B. Dolan, “Unsupervised modeling of twitter
conversations,” in HLT-NAACL 2010, 2010.
“Characterizing and curating conversation threads: expansion, focus,
volume, re-entry,” in Proceedings of WSDM ’13. New York, NY, USA: ACM, 2013, pp. 13–22.