Defining Social Network Structure Through Text Similarity Analysis: A Model for Promoting Collaboration and Examining Conditions Impacting the Success of Collaborative Endeavors Within a Research Community

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Defining Social Network Structure Through Text Similarity Analysis: A Model for Promoting Collaboration and Examining Conditions Impacting the Success of Collaborative Endeavors Within a Research Community

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Title: Defining Social Network Structure Through Text Similarity Analysis: A Model for Promoting Collaboration and Examining Conditions Impacting the Success of Collaborative Endeavors Within a Research Community
Author: Moser, Courtney Joy
Abstract: Given the breadth and sheer volume of accumulated scientific knowledge, individual researchers often lack the requisite knowledge and resources to adequately address increasingly complex problems; therefore, many researchers are realizing the advantages afforded by collaborative research practices. The application of text data mining technologies to social networking strategies provides a novel approach to identifying opportunities for scientific collaboration through text similarity analysis, provided by the computer program eTSNAP. The data set submitted to eTSNAP comprised 137 research abstracts representing individual scientists affiliated with the Regional Centers of Excellence in Biodefense and Emerging Infectious Diseases. Examination of the data in the form of tables, matrices, and interactive similarity network maps revealed the presence of eight discrete clusters of individuals, linked by the similarity of their abstracts. Further analysis of structural and functional characteristics of each cluster permitted the selection of a single cluster with the highest probability of collaborative success to serve as the pilot cluster. Members of this pilot cluster, renamed the "anthrax cluster" in reference to the common theme of research, received an introductory packet of information explaining the design of the project and soliciting participation in a preliminary survey, developed with intentions of assessing collaborative readiness and garnering practical information to assist in the preparation of a future teleconference. When multiple requests failed to elicit an adequate response, further attempts at establishing collaborative relationships between these researchers merely represented an exercise in futility. Evaluation of this project ultimately consisted of a secondary telephone interview with cluster members along with an in-depth literature review; both components of the final evaluation endeavored to isolate and examine factors that facilitate or inhibit collaboration within a research environment. Results suggest that similar interests alone cannot sustain successful collaboration; rather, complex interactions between a multitude of interconnected variables essentially determine collaborative outcomes.
Description: The file named "mosercourtney.pdf" is the primary dissertation file. Additional supplemental files (tables/figures) are also available.
URI: http://hdl.handle.net/2152.5/439
Date: 2007-05-22

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Files Size Format View Description
mosercourtney.pdf 2.706Mb PDF View/Open Primary File: Dissertation
MoserC_figure3_3.pdf 12.40Mb PDF View/Open Supplemental File: Results of analysis, tabular format
MoserC_figure3_4.pdf 2.498Mb PDF View/Open Supplemental File: Results of analysis, map format
MoserC_figure4_1.pdf 628.9Kb PDF View/Open Supplemental File: Preliminary survey
MoserC_figureb_1.pdf 27.43Mb PDF View/Open Supplemental File: Results of analysis, matrix format
MoserC_table3_1.pdf 36.92Kb PDF View/Open Supplemental File: Highly correlative abstracts
MoserC_table3_2.pdf 46.17Kb PDF View/Open Supplemental File: Clusters identified through anaysis

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