Logo eprints

On Integrating Social and Sensor Networks for Emergency Management

Shams, Farshad and Cerone, Antonio and De Nicola, Rocco On Integrating Social and Sensor Networks for Emergency Management. In: Software Engineering and Formal Methods. SEFM 2015 Collocated Workshops: ATSE, HOFM, MoKMaSD, and VERY*SCART, York, UK, September 7-8, 2015. Revised Selected Papers. Lecture Notes in Computer Science (9509). Springer, pp. 145-160. ISBN 978-3-662-49224-6 (2015)

Full text not available from this repository.


The 2010 earthquake in Haiti is often referred to as the turning point that changed the way social media can be used during disasters. The development of strategies, technologies and tools to enhance user collaboration around disasters has become an emergent field, and their integration with appropriate sensor networks presents itself as an effective solution to drive decision making in emergency management. In this paper, we present a review of existing disaster management systems and their underlying strategies and technologies, and identify the limitations of the tools in which they are implemented. We then propose an architecture for disaster management that integrates the mining of social networks and the use of sensor networks as two complementary technologies to overcome the limitations of the current emergency management tools.

Item Type: Book Section
Identification Number: 10.1007/978-3-662-49224-6_13
Additional Information: SCOPUS ID: 2-s2.0-84956597918; WOS Accession Number: WOS:000373431300013
Subjects: Q Science > QA Mathematics > QA76 Computer software
Research Area: Computer Science and Applications
Depositing User: Caterina Tangheroni
Date Deposited: 06 Oct 2016 10:03
Last Modified: 06 Oct 2016 10:03
URI: http://eprints.imtlucca.it/id/eprint/3568

Actions (login required)

Edit Item Edit Item