Toward a common lexicon for exploiting activity data

Abstract

Pattern recognition is easy. Doing it well is hard. Communicating across disciplines is even more difficult. This paper reports on efforts to reduce the communication issues across researchers. Currently, the social network data is being exploited by a number of academics to understand interactions among individuals. Assessing interactions among individuals is an application of pattern recognition, a science that for over 40 years has received a huge financial investment from the research and development community. This paper provides a lexicon that has been developed from the pattern recognition community and applies it to the current tasks of social network interactions. Two case studies will be used: reconnaissance imagery from the Cold War and text from social networks that includes both posting messages and instant messaging.