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Social Network Analysis and Bistability: From Theory to a Computational Model of Control
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Author(s): Fjorentina Angjellari-Dajci (Paine College, USA), Kim Marcille Romaner (Possibilities Amplified, Inc., USA), Donald A. Sofge (Naval Research Laboratory, USA), Tadd Patton (Augusta State University, USA), Stephen H. Hobbs (Augusta State University, USA), Alana Enslein (Augusta State University, USA), Chelsea Hodges (Augusta State University, USA), Kelsey Zuchegno (Augusta State University, USA)and W.F. Lawless (Paine College, USA)
Copyright: 2012
Pages: 20
Source title:
Handbook of Research on Business Social Networking: Organizational, Managerial, and Technological Dimensions
Source Author(s)/Editor(s): Maria Manuela Cruz-Cunha (Polytechnic Institute of Cavado and Ave, Portugal), Patricia Gonçalves (School of Technology at the Polytechnic Institute of Cavado and Ave, Portugal), Nuno Lopes (Polytechnic Institute of Cávado and Ave, Portugal), Eva Maria Miranda (Polytechnic Institute of Cávado and Ave, Portugal)and Goran D. Putnik (University of Minho, Portugal)
DOI: 10.4018/978-1-61350-168-9.ch002
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Abstract
Traditional social science models, including those for social network analysis (SNA), have so far not succeeded in establishing a valid computational model of social science, especially autonomy. A wide-ranging call has been issued to develop a fundamental replacement for traditional science in order to be able to mathematically control organizations and systems composed of humans, machines, and robots that can work together effectively to solve problems that organizations and systems composed of humans now solve intuitively. We report our progress with the development of a fundamental control theory based on social network analysis.
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