The method utilizes the temporal burst patterns in GDELT event streams to uncover the underlying event development mechanics and formulate the protest event ...
May 10, 2017 · We propose a Hidden Markov Model based framework to characterize the underlying development of these events. Figure 3 illustrates the proposed ...
2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery. 978-1-5090-5154-0/16 $31.00 © 2016 IEEE.
Most existing approaches comparatively pay little attention to considering the event development stages. In this paper, we use autocoded events dataset GDELT ( ...
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These sequences are used to train models and even- tually predict new social unrest in a country. (ii) Second, we propose a novel hidden Markov model based ...
Qiao and Chen (2016) use Hidden Markov Models to predict the future sequence of anti-government protests in Thailand; Bahrami, Findik, Bozkaya, and Balcisoy ( ...
The proposed HMMs-based social unrest event prediction framework: two HMMs are trained, with one for SU-prone sequences and one for SU-free sequences.
Predicting Social Unrest Events with Hidden Markov Models ... This paper develops a hidden Markov models ... Figure 1: Event development stages before the protest ...
This study uses hidden Markov models (HMM) to forecast conflict in the former Yugoslavia for the period January 1991 through January 1999.
... prediction task, and summarizes ... Predicting Social Unrest Events with Hidden Markov Models Using GDELT ... This work analyzes protest dynamics in six ...