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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Jonathon Cummings.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Du, Aaron (Aaron Yinan)</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">2006-07-13T15:11:51Z</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 49-50).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The selection of targeted survey questions and the design of survey questionnaires are instrumental in the social networks research. With the accelerating growth of theory and experimental knowledge in the area of social network analysis, there is a need for a centralized questionnaire database system for the collection and appropriate utilization of these questions and feedbacks used for social networks research. Our project aims to provide a content-driven back-end database system and an online user interface to assist researchers to make intelligent selection of survey questions and design of questionnaires based on current area-specific knowledge within social network analysis.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Aaron Du.</dim:field>
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   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
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   <dim:field mdschema="dc" element="title" lang="en_US">Open-source social Network Assessment Survey System (NASS)</dim:field>
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   	&lt;Title>Open-source social Network Assessment Survey System (NASS)&lt;/Title>
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   	&lt;Abstract>The selection of targeted survey questions and the design of survey questionnaires are instrumental in the social networks research. With the accelerating growth of theory and experimental knowledge in the area of social network analysis, there is a need for a centralized questionnaire database system for the collection and appropriate utilization of these questions and feedbacks used for social networks research. Our project aims to provide a content-driven back-end database system and an online user interface to assist researchers to make intelligent selection of survey questions and design of questionnaires based on current area-specific knowledge within social network analysis.&lt;/Abstract>
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