Tracking Time Evolution of Collective Attention Clusters in Twitter: Time Evolving Nonnegative Matrix Factorisation

Abstract

Micro-blogging services, such as Twitter, offer opportunities to analyse user behaviour. Discovering and distinguishing behavioural patterns in micro-blogging services is valuable. However, it is difficult and challenging to distinguish users, and to track the temporal development of collective attention within distinct user groups in Twitter. In this paper… (More)
DOI: 10.1371/journal.pone.0139085

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Cite this paper

@inproceedings{Saito2015TrackingTE, title={Tracking Time Evolution of Collective Attention Clusters in Twitter: Time Evolving Nonnegative Matrix Factorisation}, author={Shota Saito and Yoshito Hirata and Kazutoshi Sasahara and Hideyuki Suzuki and Boris Podobnik}, booktitle={PloS one}, year={2015} }