Classifying science: Phenomena, data, theory, method, practice: Book Reviews

TitleClassifying science: Phenomena, data, theory, method, practice: Book Reviews
Publication TypeJournal Articles
Year of Publication2006
AuthorsPerer A, Shneiderman B, Oard D
JournalJ. Am. Soc. Inf. Sci. Technol.
Pagination1977 - 1978
Date Published2006/12//
ISBN Number1532-2882
Keywordscorpus_analysis, email, hci, project--email, text_analysis, Visualization

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.