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Erik Brynjolfsson, Sinan Aral and Marshall Van Alstyne. Farrokhzadi, Meshkat Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2008-05-19T16:04:32Z 2008-05-19T16:04:32Z 2007 2007 http://hdl.handle.net/1721.1/41643 219695439 Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. Includes bibliographical references (p. 84-85). Although most people agree that the use of information technology increases workplace productivity, the exact relationship between productivity and different characteristics of information employees send and receive, such as entropy, information rate and mutual information is not very well studied. By using empirical data, this study develops methodologies to measure the entropy, information rate and mutual information of the email content exchanged between information workers. Furthermore, the validity of these methodologies is evaluated using comparable, publicly available datasets. The evaluation shows that important informational characteristics of email messages, namely the entropy values, are preserved even when messages undergo transformations that preserve privacy and anonymity. by Meshkat Farrokhzadi. M.Eng. 85 p. eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Electrical Engineering and Computer Science. Entropy, information rate and mutual information measures for the email content of information workers Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="9c8a80bc-2683-4344-be89-7d83200bbdf6"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Entropy, information rate and mutual information measures for the email content of information workers</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2007</PublicationDate> <Authors> <Author> <DisplayName>Farrokhzadi, Meshkat</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Electrical Engineering and Computer Science.</Keyword> <Abstract>Although most people agree that the use of information technology increases workplace productivity, the exact relationship between productivity and different characteristics of information employees send and receive, such as entropy, information rate and mutual information is not very well studied. By using empirical data, this study develops methodologies to measure the entropy, information rate and mutual information of the email content exchanged between information workers. Furthermore, the validity of these methodologies is evaluated using comparable, publicly available datasets. The evaluation shows that important informational characteristics of email messages, namely the entropy values, are preserved even when messages undergo transformations that preserve privacy and anonymity.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>