T:A:L:K:S

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title:
Twitter Dynamics
name:
Higham
first name:
Des
location/conference:
RDSN14
WWW-link:
http://personal.strath.ac.uk/d.j.higham/
abstract:
Digital records of human interactions produce large-scale and rapidly changing data sets. Information such as “who phoned whom” and “who tweeted whom” provides a fascinating insight into our behaviour that can be of great value to social scientists, commercial organisations and governments. I will discuss some recent mathematical models that describe the evolution of these interactions and quantify the “central” players in the network. I will show some results on Twitter data.