Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1080/10691898.2015.11889734 | JOURNAL OF STATISTICS EDUCATION |
Keywords | DocType | Volume |
Computational Statistics,Data Science,Research with Undergraduates | Journal | 23.0 |
Issue | ISSN | Citations |
2.0 | 1069-1898 | 2 |
PageRank | References | Authors |
0.42 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johanna Hardin | 1 | 2 | 0.42 |
| Ghassan Sarkis | 2 | 2 | 0.42 |
| P. C. Urc | 3 | 2 | 0.42 |