TY - GEN
T1 - Monitoring Social Networks Formation and Information Velocity for Cases of Airliners' Crashes
AU - Dimitriou, Loukas
AU - Antoniou, Constantinos
AU - Christodoulou, Symeon
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/30
Y1 - 2015/10/30
N2 - Airliners' industry corresponds to an extremely sensitive and volatile sector, especially subject to information related to flights safety. Possible negative publicity on such issues may result to sudden and abrupt fluctuations of air travel demand, accompanied with phenomena of panic or feelings of generalized insecurity. The proliferation of social media platforms that offers a two-ways communication channel, contributes to the overall information propagation related to flights security (as exposed in the recent airlines crashes) and can be viewed as a proxy of the social network formation of such paradigms. The current paper aims to offer a framework for quantitatively analyzing social network formation based on comprehensive network metrics, valuable in cases of commercial airliners accidents. The analysis is based on data from two realistic events (airliners' crashes), attracted the international public interest and affected significantly the air travel demand. Finally, the results can contribute to the air demand treatment, especially in terms of optimal communication operational management in cases of crises.
AB - Airliners' industry corresponds to an extremely sensitive and volatile sector, especially subject to information related to flights safety. Possible negative publicity on such issues may result to sudden and abrupt fluctuations of air travel demand, accompanied with phenomena of panic or feelings of generalized insecurity. The proliferation of social media platforms that offers a two-ways communication channel, contributes to the overall information propagation related to flights security (as exposed in the recent airlines crashes) and can be viewed as a proxy of the social network formation of such paradigms. The current paper aims to offer a framework for quantitatively analyzing social network formation based on comprehensive network metrics, valuable in cases of commercial airliners accidents. The analysis is based on data from two realistic events (airliners' crashes), attracted the international public interest and affected significantly the air travel demand. Finally, the results can contribute to the air demand treatment, especially in terms of optimal communication operational management in cases of crises.
KW - Air travel demand
KW - Airliners' crashes
KW - Airliners' industry
KW - Commersial flights
KW - Social networks
UR - http://www.scopus.com/inward/record.url?scp=84950263787&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2015.45
DO - 10.1109/ITSC.2015.45
M3 - Conference contribution
AN - SCOPUS:84950263787
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 220
EP - 224
BT - Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015
Y2 - 15 September 2015 through 18 September 2015
ER -