Skip to Main content Skip to Navigation

How information propagates on Twitter ?

Maksym Gabielkov 1
1 DIANA - Design, Implementation and Analysis of Networking Architectures
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : This thesis presents the measurement study of Online Social Networks focusing on Twitter. Twitter is one of the largest social networks using exclusively directed links among accounts. This makes the Twitter social graph much closer to the social graph supporting real life communications than, for instance, Facebook. Therefore, understanding the structure of the Twitter social graph and the way information propagates through it is interesting not only for computer scientists, but also for researchers in other fields, such as sociologists. However, littles is known about the information propagation in Twitter. In the first part, we present an in-depth study of the macroscopic structure of the Twitter social graph. In the second part, we study the propagation of the news media articles shared on Twitter. In the third part we present an experimental study of graph sampling.
Document type :
Complete list of metadata

Cited literature [57 references]  Display  Hide  Download
Contributor : Abes Star :  Contact
Submitted on : Tuesday, September 20, 2016 - 4:28:09 PM
Last modification on : Friday, October 23, 2020 - 5:00:38 PM


Version validated by the jury (STAR)


  • HAL Id : tel-01336218, version 2



Maksym Gabielkov. How information propagates on Twitter ?. Other [cs.OH]. Université Nice Sophia Antipolis, 2016. English. ⟨NNT : 2016NICE4031⟩. ⟨tel-01336218v2⟩



Les métriques sont temporairement indisponibles