Name Networks: A Content-Based Method for Automated Discovery of Social Networks to Study Collaborative Learning

Persistent Link:
http://hdl.handle.net/10150/105553
Title:
Name Networks: A Content-Based Method for Automated Discovery of Social Networks to Study Collaborative Learning
Author:
Gruzd, Anatoliy
Citation:
Name Networks: A Content-Based Method for Automated Discovery of Social Networks to Study Collaborative Learning 2009,
Issue Date:
2009
URI:
http://hdl.handle.net/10150/105553
Submitted date:
2009-05-05
Abstract:
As a way to gain greater insight into the operation of Library and Information Science (LIS) e-learning communities, the presented work applies automated text mining techniques to text-based communication to identify, describe and evaluate underlying social networks within such communities. The main thrust of the study is to find a way to use computers to automatically discover social ties that form between students just from their threaded discussions. Currently, one of the most common but time consuming methods for discovering social ties between people is to ask questions about their perceived social ties via a survey. However, such a survey is difficult to collect due to the high cost associated with data collection and the sensitive nature of the types of questions that must be asked. To overcome these limitations, the paper presents a new, content-based method for automated discovery of social networks from threaded discussions dubbed name networks. When fully developed, name networks can be used as a real time diagnostic tool for educators to evaluate and improve teaching models and to identify students who might need additional help or students who may provide such help to others.
Type:
Conference Paper
Language:
en
Keywords:
Library Science; Information Extraction; Virtual Communities; Sociology; Communications; Computational Linguistics; Learning Science; Internet; Natural Language Processing; Quantitative Research; Library and Information Science Education
Local subject classification:
e-learning; network visualization; online communities; social network analysis; text mining

Full metadata record

DC FieldValue Language
dc.contributor.authorGruzd, Anatoliyen_US
dc.date.accessioned2009-05-05T00:00:01Z-
dc.date.available2010-06-18T23:27:18Z-
dc.date.issued2009en_US
dc.date.submitted2009-05-05en_US
dc.identifier.citationName Networks: A Content-Based Method for Automated Discovery of Social Networks to Study Collaborative Learning 2009,en_US
dc.identifier.urihttp://hdl.handle.net/10150/105553-
dc.description.abstractAs a way to gain greater insight into the operation of Library and Information Science (LIS) e-learning communities, the presented work applies automated text mining techniques to text-based communication to identify, describe and evaluate underlying social networks within such communities. The main thrust of the study is to find a way to use computers to automatically discover social ties that form between students just from their threaded discussions. Currently, one of the most common but time consuming methods for discovering social ties between people is to ask questions about their perceived social ties via a survey. However, such a survey is difficult to collect due to the high cost associated with data collection and the sensitive nature of the types of questions that must be asked. To overcome these limitations, the paper presents a new, content-based method for automated discovery of social networks from threaded discussions dubbed name networks. When fully developed, name networks can be used as a real time diagnostic tool for educators to evaluate and improve teaching models and to identify students who might need additional help or students who may provide such help to others.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectLibrary Scienceen_US
dc.subjectInformation Extractionen_US
dc.subjectVirtual Communitiesen_US
dc.subjectSociologyen_US
dc.subjectCommunicationsen_US
dc.subjectComputational Linguisticsen_US
dc.subjectLearning Scienceen_US
dc.subjectInterneten_US
dc.subjectNatural Language Processingen_US
dc.subjectQuantitative Researchen_US
dc.subjectLibrary and Information Science Educationen_US
dc.subject.othere-learningen_US
dc.subject.othernetwork visualizationen_US
dc.subject.otheronline communitiesen_US
dc.subject.othersocial network analysisen_US
dc.subject.othertext miningen_US
dc.titleName Networks: A Content-Based Method for Automated Discovery of Social Networks to Study Collaborative Learningen_US
dc.typeConference Paperen_US
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