@article {17013,
	title = {Classifying science: Phenomena, data, theory, method, practice: Book Reviews},
	journal = {J. Am. Soc. Inf. Sci. Technol.},
	volume = {57},
	year = {2006},
	month = {2006/12//},
	pages = {1977 - 1978},
	abstract = {Due to e-mail{\textquoteright}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{\textquoteright}s 15-year e-mail archive, which consists of about 45,000 messages and over 4,000 relationships. {\textcopyright} 2006 Wiley Periodicals, Inc.},
	keywords = {corpus_analysis, email, hci, project--email, text_analysis, Visualization},
	isbn = {1532-2882},
	url = {http://dx.doi.org/10.1002/asi.v57:14},
	author = {Perer,Adam and Shneiderman, Ben and Oard, Douglas}
}
