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ERIC Number: ED550587
Record Type: Non-Journal
Publication Date: 2012
Pages: 372
Abstractor: As Provided
Reference Count: N/A
ISBN: 978-1-2678-6748-3
ISSN: N/A
Emergent Complex Behavior in Social Networks: Examples from the Ktunaxa Speech Community
Horsethief, Christopher
ProQuest LLC, Ph.D. Dissertation, Gonzaga University
Language serves as a primary tool for structuring identity and loss of language represents the loss of that identity. This study utilizes a social network analysis of Ktunaxa speech community activities for evidence of internally generated revitalization efforts. These behaviors include instances of self-organized emergence. Such emergent behavior has occurred without benefit of a universal set of rules regarding social network reaction to chaotic perturbation. The literature review presents a baseline understanding of trauma theory, complex systems, and network robustness. The quantitative unobtrusive social network analysis focuses on empirical data gathered through Ktunaxa Nation Council language revitalization efforts. Viewing a speech community as a complex adaptive system can illustrate collective reaction to colonization as self-organized behavior. Interpreting emergence in a social network analysis framework can model language community robustness as collective network intelligence. With a framework for approaching additional decolonization efforts, collective intelligence may provide contemporary leadership with ample strategies for saving traditional First Nations knowledge. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml
Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A