BibTex format
@inbook{Amor:2016:10.1142/9781786340757_0005,
author = {Amor, B and Vuik, S and Callahan, R and Darzi, A and Yaliraki, SN and Barahona, M},
booktitle = {Dynamic Networks and Cyber-Security},
doi = {10.1142/9781786340757_0005},
editor = {Adams and Heard},
pages = {111--136},
publisher = {World Scientific},
title = {Community detection and role identification in directed networks: understanding the Twitter network of the care.data debate},
url = {http://dx.doi.org/10.1142/9781786340757_0005},
year = {2016}
}
RIS format (EndNote, RefMan)
TY - CHAP
AB - With the rise of social media as an important channel for the debate anddiscussion of public affairs, online social networks such as Twitter havebecome important platforms for public information and engagement by policymakers. To communicate effectively through Twitter, policy makers need tounderstand how influence and interest propagate within its network of users. Inthis chapter we use graph-theoretic methods to analyse the Twitter debatesurrounding NHS England's controversial care.data scheme. Directionality is acrucial feature of the Twitter social graph - information flows from thefollowed to the followers - but is often ignored in social network analyses;our methods are based on the behaviour of dynamic processes on the network andcan be applied naturally to directed networks. We uncover robust communities ofusers and show that these communities reflect how information flows through theTwitter network. We are also able to classify users by their differing roles indirecting the flow of information through the network. Our methods and resultswill be useful to policy makers who would like to use Twitter effectively as acommunication medium.
AU - Amor,B
AU - Vuik,S
AU - Callahan,R
AU - Darzi,A
AU - Yaliraki,SN
AU - Barahona,M
DO - 10.1142/9781786340757_0005
EP - 136
PB - World Scientific
PY - 2016///
SN - 978-1-60558752-3
SP - 111
TI - Community detection and role identification in directed networks: understanding the Twitter network of the care.data debate
T1 - Dynamic Networks and Cyber-Security
UR - http://dx.doi.org/10.1142/9781786340757_0005
UR - http://arxiv.org/abs/1508.03165
UR - http://hdl.handle.net/10044/1/32881
ER -