TY - GEN
T1 - Analysing the behaviour of online investors in times of geopolitical distress
T2 - 16th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017
AU - Dondio, Pierpaolo
AU - Usher, James
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/8/23
Y1 - 2017/8/23
N2 - In this paper we analysed how the behavior of an online financial community changed in times of geopolitical crises. In particular, we studied the behaviour and communication patterns of online investors before and after a military geopolitical event. We selected a set of 23 key-events belonging to the 2003 US-led invasion of Iraq, the Arab Spring and the first period of the Ukraine crisis, and we restricted our study to a set of eight so called war stocks. We studied the resilience of the community to information shocks by comparing the community composition, its sentiment and users' communication networks before and after an event at different time intervals. We found how community reaction is governed by ordered patterns. Experimental evidence suggested how in the aftermath of an event the community did not lose its information sharing functionality. Communication networks showed a higher in-degree Gini index, connectivity and a rich-club effect. Discussions developed around central users acting as hubs. These backbone users were present both before and after an event, their sentiment were less volatile than other users, and they were previously recognized as local experts of a specific stock. As a further evidence of community resilience, the equilibrium of all the indicators analysed were restored after two weeks.
AB - In this paper we analysed how the behavior of an online financial community changed in times of geopolitical crises. In particular, we studied the behaviour and communication patterns of online investors before and after a military geopolitical event. We selected a set of 23 key-events belonging to the 2003 US-led invasion of Iraq, the Arab Spring and the first period of the Ukraine crisis, and we restricted our study to a set of eight so called war stocks. We studied the resilience of the community to information shocks by comparing the community composition, its sentiment and users' communication networks before and after an event at different time intervals. We found how community reaction is governed by ordered patterns. Experimental evidence suggested how in the aftermath of an event the community did not lose its information sharing functionality. Communication networks showed a higher in-degree Gini index, connectivity and a rich-club effect. Discussions developed around central users acting as hubs. These backbone users were present both before and after an event, their sentiment were less volatile than other users, and they were previously recognized as local experts of a specific stock. As a further evidence of community resilience, the equilibrium of all the indicators analysed were restored after two weeks.
KW - Behavioral finance
KW - Content analysis
KW - Social media
KW - Web mining
UR - http://www.scopus.com/inward/record.url?scp=85030986714&partnerID=8YFLogxK
U2 - 10.1145/3106426.3106510
DO - 10.1145/3106426.3106510
M3 - Conference contribution
AN - SCOPUS:85030986714
T3 - Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017
SP - 275
EP - 283
BT - Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017
PB - Association for Computing Machinery, Inc
Y2 - 23 August 2017 through 26 August 2017
ER -