In June, my colleague Giles Oatley presented a joint paper entitled: Changing Faces: Identifying Complex Behavioural Profiles at HCII 2014, the 16th International Conference on Human-Computer Interaction in Crete.
If you do not have institutional access to SpringerLink, especially the Lecture Notes in Computer Science series, you can download our pre-print. The abstract is as follows:
There has been significant interest in the identification and profiling of insider threats, attracting high-profile policy focus and strategic research funding from governments and funding bodies. Recent examples attracting worldwide attention include the cases of Chelsea Manning, Edward Snowden and the US authorities. The challenges with profiling an individual across a range of activities is that their data footprint will legitimately vary significantly based on time and/or location. The insider threat problem is thus a specific instance of the more general problem of profiling complex behaviours. In this paper, we discuss our preliminary research models relating to profiling complex behaviours and present a set of experiments related to changing roles as viewed through large scale social network datasets, such as Twitter. We employ psycholinguistic metrics in this work, considering changing roles from the standpoint of a trait-based personality theory. We also present further representations, including an alternative psychological theory (not trait-based), and established techniques for crime modelling, spatio-temporal and graph/network, to investigate within a wider reasoning framework.