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This study investigates the topological form of a network and its impact on the uncertainty entrenched in descriptive measures computed from observed social network data, given ubiquitous data-error. We investigate what influence a net-work's topology, in conjunction with the type and amount of error, has on the ability of a measure, derived from observed(More)
This paper introduces the contemporary perspectives and techniques of social network analysis (SNA) and agent-based modeling (ABM) and advocates applying them to advance various aspects of complementary and alternative medicine (CAM). SNA and ABM are invaluable methods for representing, analyzing and projecting complex, relational, social phenomena; they(More)
This technical report describes the data-collection and analysis methodology used in a social-network study of computer science faculty recently conducted at a top U.S. university. The study involved the construction of a social metanetwork that combines multiple dimensions of the faculty's knowledge, task, and collaborative networks. The process of(More)
We introduce a innovative practice of providing a statistical confidence estimate to accompany the reporting of the most-central actor according to social network data; often times, collected relationship-data has some amount of error, which may affect the accuracy of the top-actor finding. This confidence estimate is the frequency-based likelihood that the(More)