Dynamic Context Maintenance in Human Terrain

Recent armed conflicts highlight the military’s need to develop new strategies that assist in situational assessment and planning for combating insurgent operations. Although insurgent warfare tactics have been used for thousands of years, the degree to which they have been recently employed presents an especially significant challenge. One of the challenges the intelligence community faces in counterinsurgency is developing the means to identify, track and predict insurgent activities. The success of discovery and tracking of insurgents and their activities depends on the presence of an up-to-date, coherent situational picture. Therein lies the challenge we address in this paper: effective dynamic context maintenance in social networks to support situational assessment. To address this challenge we apply, GeoFuse, an existing context-based sub-network extraction algorithm in a localized manner to achieve continuous context-driven network maintenance.