TY - GEN
T1 - Social signal processing for real-time situational understanding
T2 - 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015
AU - Jayarajah, Kasthuri
AU - Yao, Shuochao
AU - Mutharaju, Raghava
AU - Misra, Archan
AU - Mel, Geeth De
AU - Skipper, Julie
AU - Abdelzaher, Tarek
AU - Kolodny, Michael
N1 - Funding Information:
This material is based on research sponsored in part by the Air Force Research Laboratory, under agreement number FA2386-141-002, and by the Army Research Laboratory under agreement numbers W911NF-06-3-0001, W911NF-06-3-0002, and W911NF09-2-0053, as well as partially supported by the Singapore National Research Foundation under its International Research Centre@Singapore Funding initiative.
Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/28
Y1 - 2015/12/28
N2 - 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.
AB - 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.
KW - Situation Understanding
KW - Social Sensing
UR - http://www.scopus.com/inward/record.url?scp=84964637812&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964637812&partnerID=8YFLogxK
U2 - 10.1109/MASS.2015.89
DO - 10.1109/MASS.2015.89
M3 - Conference contribution
AN - SCOPUS:84964637812
T3 - Proceedings - 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015
SP - 627
EP - 632
BT - Proceedings - 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 October 2015 through 22 October 2015
ER -