Entropy, information rate and mutual information measures for the email content of information workers
Name
219695439-MIT.pdf
Description
Full printable version
Size
7.63 MB
Format
Adobe PDF
Checksum (MD5)
cff71b843ce32009cfecd6f92d9bbcaa
Author(s)
Farrokhzadi, Meshkat
Advisor(s)
Erik Brynjolfsson, Sinan Aral and Marshall Van Alstyne.
Date Issued
2007
Publisher
Massachusetts Institute of Technology
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.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 84-85).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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