ERIC Number: EJ1070095
Record Type: Journal
Publication Date: 2015
Abstractor: As Provided
Reference Count: 31
Network Analysis with the Enron Email Corpus
Hardin, J. S.; Sarkis, G.; URC, P. .
Journal of Statistics Education, v23 n2 2015
We use the Enron email corpus to study relationships in a network by applying six different measures of centrality. Our results came out of an in-semester undergraduate research seminar. The Enron corpus is well suited to statistical analyses at all levels of undergraduate education. Through this article's focus on centrality, students can explore the dependence of statistical models on initial assumptions and the interplay between centrality measures and hierarchical ranking, and they can use completed studies as springboards for future research. The Enron corpus also presents opportunities for research into many other areas of analysis, including social networks, clustering, and natural language processing.
Descriptors: Network Analysis, Electronic Mail, Undergraduate Study, Statistical Analysis, Models, Social Networks, Equations (Mathematics), Graphs, Business Communication, Cluster Grouping, Vertical Organization, Multivariate Analysis, Statistics
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Authoring Institution: N/A
Identifiers - Location: California