%0 Journal Article %J J. Am. Soc. Inf. Sci. Technol. %D 2006 %T Classifying science: Phenomena, data, theory, method, practice: Book Reviews %A Perer,Adam %A Shneiderman, Ben %A Oard, Douglas %K corpus_analysis %K email %K hci %K project--email %K text_analysis %K Visualization %X 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. %B J. Am. Soc. Inf. Sci. Technol. %V 57 %P 1977 - 1978 %8 2006/12// %@ 1532-2882 %G eng %U http://dx.doi.org/10.1002/asi.v57:14 %N 14