Terrill L. Frantz

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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 network’s topology, in conjunction with the type and amount of error, has on the ability of a measure, derived from observed(More)
An often overbearing logistical problem that social network researchers and analysts face is the challenge of carrying out the basic data processing steps necessary to transform real-world source data into a form that is formatted specifically to the requirements of particular social network analysis software. In particular, this paper focuses on resolving(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 socialnetwork 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)
1 Toward A Confidence Estimate For The Most-Central-Actor Finding Terrill L. Frantz & Kathleen M. Carley ABSTRACT 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(More)