Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
10-2015
Abstract
The US Army Research Laboratory (ARL) and the Air Force Research Laboratory (AFRL) have established a collaborative research enterprise referred to as the Situational Understanding Research Institute (SURI). The goal is to develop an information processing framework to help the military obtain real-time situational awareness of physical events by harnessing the combined power of multiple sensing sources to obtain insights about events and their evolution. It is envisioned that one could use such information to predict behaviors of groups, be they local transient groups (e.g., protests) or widespread, networked groups, and thus enable proactive prevention of nefarious activities. This paper presents a vision of how social media sources can be exploited in the above context to obtain insights about events, groups, and their evolution.
Keywords
Situation Understanding, Social Sensing
Discipline
Digital Communications and Networking | Social Media | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
2015 IEEE 12th International Conference on Mobile Adhoc and Sensor Systems MASS: Dallas, TX, October 19-22
First Page
627
Last Page
632
ISBN
9781467391009
Identifier
10.1109/MASS.2015.89
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
JEYARAJAH, Kasthuri; YAO, Shuchao; MUTHURAJU, Raghava; MISRA, Archan; DE MEL, Geeth; SKIPPER, Julie; ABDELZAHER, Tarek; and KOLODNY, Michael.
Social Signal Processing for Real-time Situational Understanding: A Vision and Approach. (2015). 2015 IEEE 12th International Conference on Mobile Adhoc and Sensor Systems MASS: Dallas, TX, October 19-22. 627-632.
Available at: https://ink.library.smu.edu.sg/sis_research/3139
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/MASS.2015.89
Included in
Digital Communications and Networking Commons, Social Media Commons, Software Engineering Commons