Citation

BibTex format

@inbook{Amor:2016:10.1142/9781786340757_0005,
author = {Amor, BRC and Vuik, SI and Callahan, R and Darzi, A and Yaliraki, SN and Barahona, M},
booktitle = {Dynamic Networks and Cyber-Security},
doi = {10.1142/9781786340757_0005},
pages = {111--136},
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 - © 2016 by World Scientific Publishing Europe Ltd. All rights reserved. With the rise of social media as an important channel for the debate and discussion of public affairs, online social networks such as Twitter have become important platforms for public information and engagement by policy makers. To communicate effectively through Twitter, policy makers need to understand how influence and interest propagate within its network of users. In this chapter, we use graph-theoretic methods to analyse the Twitter debate surrounding NHS England's controversial care.data scheme. Directionality is a crucial feature of the Twitter social graph - information flows from the followed to the followers - but is often ignored in social network analyses; our methods are based on the behaviour of dynamic processes on the network and can be applied naturally to directed networks. We uncover robust communities of users and show that these communities reflect how information flows through the Twitter network. We are also able to classify users by their differing roles in directing the flow of information through the network. Our methods and results will be useful to policy makers who would like to use Twitter effectively as a communication medium.
AU - Amor,BRC
AU - Vuik,SI
AU - Callahan,R
AU - Darzi,A
AU - Yaliraki,SN
AU - Barahona,M
DO - 10.1142/9781786340757_0005
EP - 136
PY - 2016///
SN - 9781786340757
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://hdl.handle.net/10044/1/32881
ER -