An Automated Methodology for Conducting a Social Network Study of a University Faculty
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE
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This technical report describes the data collection and analysis methodologies used in a social network study of computer science faculty that was recently conducted at a top U.S. university. The study involved the construction of a social meta-network that combines multiple dimensions of the facultys knowledge, task assignments, and collaborative networks. The process of collecting the source data, then messaging the data for analysis was completely automated through the use of custom computer software. This allowed for an entirely unobtrusive data collection process and simplified and repeatable analytic tasks. In this report, the authors introduce the metamatrix framework and discuss its utility as a tool for complex network analysis, describe the data collection methodology, explain the metamatrix construction process, and, finally, present some closing remarks. The report does not discuss the specific findings of the underlying research, which are regarded as confidential.
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