Classifying science: Phenomena, data, theory, method, practice: Book Reviews
Title | Classifying science: Phenomena, data, theory, method, practice: Book Reviews |
Publication Type | Journal Articles |
Year of Publication | 2006 |
Authors | Perer A, Shneiderman B, Oard D |
Journal | J. Am. Soc. Inf. Sci. Technol. |
Volume | 57 |
Issue | 14 |
Pagination | 1977 - 1978 |
Date Published | 2006/12// |
ISBN Number | 1532-2882 |
Keywords | corpus_analysis, email, hci, project--email, text_analysis, Visualization |
Abstract | Due to e-mail's ubiquitous nature, millions of users are intimate with the technology; however, most users are only familiar with managing their own e-mail, which is an inherently different task from exploring an e-mail archive. Historians and social scientists believe that e-mail archives are important artifacts for understanding the individuals and communities they represent. To understand the conversations evidenced in an archive, context is needed. In this article, we present a new way to gain this necessary context: analyzing the temporal rhythms of social relationships. We provide methods for constructing meaningful rhythms from the e-mail headers by identifying relationships and interpreting their attributes. With these visualization techniques, e-mail archive explorers can uncover insights that may have been otherwise hidden in the archive. We apply our methods to an individual's 15-year e-mail archive, which consists of about 45,000 messages and over 4,000 relationships. © 2006 Wiley Periodicals, Inc. |
URL | http://dx.doi.org/10.1002/asi.v57:14 |