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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Erik Brynjolfsson and Sinan Aral.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Qian, Jichao, M. Eng. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2009-08-26T16:39:41Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2008</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">404153725</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 129).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">We study three types of communication data--emails, phone calls, and meetings-in a modern IT firm. Using network descriptive statistics, we show how communication networks in an organization differ from random networks and other social networks. We also compare and contrast the three types of communication networks. Using Quadratic Assignment Procedure (QAP), Multiple Regression Quadratic Assignment Procedure (MRQAP) and Exponential Random Graph Models (ERGM), we identify significant factors affecting the size and shape of communication networks. These parameters include organizational structure, homophily, job position, and physical proximity. We record the evolution of the networks and discuss how the factors affecting initial network growth differ from the steady state of the network.Erik Brynjolfsson George and Sandi Schussel Professor of Management Director, Center for Digital Business, MIT Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Jichao Qian.</dim:field>
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   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">129 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Structure and evolution of communication networks in organizations</dim:field>
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   	&lt;Title>Structure and evolution of communication networks in organizations&lt;/Title>
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   	&lt;PublicationDate>2008&lt;/PublicationDate>
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   	&lt;Abstract>We study three types of communication data--emails, phone calls, and meetings-in a modern IT firm. Using network descriptive statistics, we show how communication networks in an organization differ from random networks and other social networks. We also compare and contrast the three types of communication networks. Using Quadratic Assignment Procedure (QAP), Multiple Regression Quadratic Assignment Procedure (MRQAP) and Exponential Random Graph Models (ERGM), we identify significant factors affecting the size and shape of communication networks. These parameters include organizational structure, homophily, job position, and physical proximity. We record the evolution of the networks and discuss how the factors affecting initial network growth differ from the steady state of the network.Erik Brynjolfsson George and Sandi Schussel Professor of Management Director, Center for Digital Business, MIT Sloan School of Management&lt;/Abstract>
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