Detection of Internet Water Army in Social Network

DOI

10.2991/ccit-14.2014.50How to use a DOI?

Keywords

Internet Water Army, Feature measurement, Machine learning, Influence model, MEIWA online algorithm

Abstract

As related works had a few research on Internet Water Army in social network, specifically on the Internet Water Army who trends to lead people’s opinions, obscure the real voices and change public opinions in social network. To better understand what difference lie between Internet Water Army and legitimate user, we did some work about behaviour of them from real dataset in Sina microblogging service. We adopted some machine learning algorithms to classify the type of user with collected features through the measurement. At the same time we proposed an influence model and create a new online algorithm with linear complexity to reduce the water army’s influence on legitimate users greatly.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kun Wang
AU  - Yang Xiao
AU  - Zhen Xiao
PY  - 2014/01
DA  - 2014/01
TI  - Detection of Internet Water Army in Social Network
BT  - Proceedings of the 2014 International Conference on Computer, Communications and Information Technology
PB  - Atlantis Press
SP  - 189
EP  - 192
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.50
DO  - 10.2991/ccit-14.2014.50
ID  - Wang2014/01
ER  -