Speaker
Dr
Mathiesen Joachim
(Niels Bohr Institute)
Description
Social media have become essential channels for the exchange
of ideas on a global scale. Using real-time data from
Twitter, we identify fundamental human communication
patterns. We use methods based on networks to gauge the
spread of ideas and analyze the collective behavior in
massive social organizations. We show that correlations in
the content of user communication follow a universal scale
free distribution. The correlations indicate a
self-organizing dynamics in large social organizations where
the exchange of information between individuals is highly
volatile. Further perspectives are presented in the form of
communication data from a university environment.
