<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T04:32:17Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/62361" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/62361</identifier><datestamp>2022-01-13T07:55:04Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Judith Donath.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Spiegel, Dana Sean, 1977-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Program in Media Arts and Sciences (Massachusetts Institute of Technology)</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2011-04-25T15:46:55Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2011-04-25T15:46:55Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2001</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2001</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">50396683</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2001.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaves 95-99).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Social patterns are observable in real-world interactions as visual cues. Online, however, there are few visual cues available that can be used to see and understand social patterns. In this thesis, I suggest that many of these social patterns are still present in our interactions online in text chat; they are merely encoded in the textual interactions. This thesis presents Coterie, a visualization of the conversational dynamics of an Internet Relay Chat (IRC) channel. Through Coterie, viewers can see the social patterns that underlie the text interactions between conversants. Using the chat messages posted to an IRC channel by users, Coterie builds statistical models for individual and channel-level interaction based on existing real-world sociometric models. Coterie also automatically separates out conversations using a conversation model based on a word usage algorithm. This information is then presented to the viewer through a novel display based on models for real-world small group interaction, which allows the viewer to see historical patterns of user interaction, such as a user's verbosity, as well as channel-level patterns, such as cohesiveness. The visualization is evaluated based on how well it makes such patterns visible, and further directions for its development are presented.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">Dana Sean Spiegel.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">106 leaves</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>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by &#xd;
copyright. They may be viewed from this source for any purpose, but &#xd;
reproduction or distribution in any format is prohibited without written &#xd;
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Architecture. Program In Media Arts and Sciences.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Coterie : a visualization of the conversational dynamics within IRC</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Visualization of the conversational dynamics within Internet Relay Chat</dim:field>
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   	&lt;Title>Coterie : a visualization of the conversational dynamics within IRC&lt;/Title>
   	&lt;Subtitle>Visualization of the conversational dynamics within Internet Relay Chat&lt;/Subtitle>
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   	&lt;PublicationDate>2001&lt;/PublicationDate>
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        	&lt;DisplayName>Spiegel, Dana Sean, 1977-&lt;/DisplayName>
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    &lt;Keyword>Architecture. Program In Media Arts and Sciences.&lt;/Keyword>
   	&lt;Abstract>Social patterns are observable in real-world interactions as visual cues. Online, however, there are few visual cues available that can be used to see and understand social patterns. In this thesis, I suggest that many of these social patterns are still present in our interactions online in text chat; they are merely encoded in the textual interactions. This thesis presents Coterie, a visualization of the conversational dynamics of an Internet Relay Chat (IRC) channel. Through Coterie, viewers can see the social patterns that underlie the text interactions between conversants. Using the chat messages posted to an IRC channel by users, Coterie builds statistical models for individual and channel-level interaction based on existing real-world sociometric models. Coterie also automatically separates out conversations using a conversation model based on a word usage algorithm. This information is then presented to the viewer through a novel display based on models for real-world small group interaction, which allows the viewer to see historical patterns of user interaction, such as a user&amp;apos;s verbosity, as well as channel-level patterns, such as cohesiveness. The visualization is evaluated based on how well it makes such patterns visible, and further directions for its development are presented.&lt;/Abstract>
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