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Leveraging Localized Social Media Insights for Early Warning Systems
- Source :
- Digibug. Repositorio Institucional de la Universidad de Granada, instname, Digibug: Repositorio Institucional de la Universidad de Granada, Universidad de Granada (UGR), ITQM
- Publication Year :
- 2014
- Publisher :
- Elsevier BV, 2014.
-
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.<br />TIN2013-40658-P<br />TIN2016-75850-R
- Subjects :
- Process management
Social Media Sensor
Warning system
Core business
Computer science
Quality of service
Competitor analysis
Service provider
Social Media Insights
Computer security
computer.software_genre
Early-warning systems
Order (exchange)
General Earth and Planetary Sciences
Social media
Localized Social Media
Set (psychology)
computer
General Environmental Science
Subjects
Details
- ISSN :
- 18770509
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Procedia Computer Science
- Accession number :
- edsair.doi.dedup.....1ab1d7aac4a2ab2daedd9b22538bebda
- Full Text :
- https://doi.org/10.1016/j.procs.2014.05.359