TY - CONF T1 - On the Extraction and Analysis of a Social Network with Partial Organizational Observation T2 - Proceedings of the 19th IEEE International Conference and Workshops on Engineering of Computer-Based Systems Y1 - 2012 A1 - Sean Whitsitt A1 - Abishek Gopalan A1 - Sangman Cho A1 - Jonathan Sprinkle A1 - Srinivasan Ramasubramanian A1 - Liana Suantak A1 - Jerzy Rozenblit AB -

The behavior of an organization may be inferred based on the behavior of its members, their contacts, and their connectivity. One approach to organizational analysis is the construction and interpretation of a social network graph, where entities of an organization (persons, vehicles, locations, events, etc.) are nodes, and edges represent varying kinds of connectivity between entities. This paper describes a transformation based approach to the extraction of a social network graph, where the original data comprising (partial) observation of the organization are embedded on a graph with a different ontology, and with many entities and edges that are unrelated to the organization of interest. Social network extraction allows the inference of implied relationships, and the selection of relationships relevant for intended analysis techniques. The analysis of the resulting social network graph is based on organizational and individual analysis, in order to permit an advanced user to draw conclusions regarding the behavior of the organization, based on established social network graph metrics. The results of the paper include a discussion of the complexity of analysis, and how the observation data graph is pruned in order to scale the application of analysis algorithms.

JF - Proceedings of the 19th IEEE International Conference and Workshops on Engineering of Computer-Based Systems UR - http://dx.doi.org/10.1109/ECBS.2012.33 ER -