Social network analysis and bistability: From theory to a computational model of control

Fjorentina Angjellari-Dajci, Kim Marcille Romaner, Donald A. Sofge, Tadd Patton, Stephen H. Hobbs, Alana Enslein, Chelsea Hodges, Kelsey Zuchegno, W. F. Lawless

Research output: Chapter in Book/Report/Conference proceedingChapter

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 wideranging 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.

Original languageEnglish (US)
Title of host publicationHandbook of Research on Business Social Networking
Subtitle of host publicationOrganizational, Managerial, and Technological Dimensions
PublisherIGI Global
Pages14-33
Number of pages20
ISBN (Print)9781613501689
DOIs
StatePublished - 2011

ASJC Scopus subject areas

  • General Business, Management and Accounting

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