@misc{10481/64906,
year = {2014},
url = {http://hdl.handle.net/10481/64906},
abstract = {Social Media is more and more positioning as the channel to implement early warning systems for prompt reaction to events
that might affect a company’s core business. The enabling of geo-location for social media interactions unlocks new possibilities
for decision making scenarios aiming at triage situation where the quality of service decays. In this work we provide a system and
a set of soft metrics to quantify the impact created by the reaction of people directly affected by an incident in a particular area in
order to facilitate the service providers’ appropriate reaction, the decision making in marketing activities and to unveil customer
acquisition opportunities applying the system to the competitors’ customers.},
organization = {TIN2013-40658-P},
organization = {TIN2016-75850-R},
publisher = {WORLD SCIENTIFIC PUBL CO PTE LTD},
keywords = {Early-warning systems},
keywords = {Localized Social Media},
keywords = {Social Media Sensor},
keywords = {Social Media Insights},
title = {Leveraging Localized Social Media Insights for Early Warning Systems},
doi = {10.1016/j.procs.2014.05.359},
author = {Bernabé Moreno, Juan and Tejeda Lorente, Álvaro and Herrera Viedma, Enrique},
}