A probabilistic switch model of information flow in social networks: Application for virtual circuits to organizational design

Barnard, R. T., Kapeleris, J. and Hine, D. C. (2006) A probabilistic switch model of information flow in social networks: Application for virtual circuits to organizational design. International Journal of Technology Transfer and Commercialisation, 5 1/2: 4-30.


Author Barnard, R. T.
Kapeleris, J.
Hine, D. C.
Title A probabilistic switch model of information flow in social networks: Application for virtual circuits to organizational design
Journal name International Journal of Technology Transfer and Commercialisation   Check publisher's open access policy
ISSN 1470-6075
Publication date 2006
Volume 5
Issue 1/2
Start page 4
End page 30
Total pages 27
Editor M.A. Dorgham
Place of publication United Kingdom
Publisher Inderscience
Collection year 2006
Language eng
Subject C1
350211 Innovation and Technology Management
729901 Technological and organisational innovation
Abstract Network building and exchange of information by people within networks is crucial to the innovation process. Contrary to older models, in social networks the flow of information is noncontinuous and nonlinear. There are critical barriers to information flow that operate in a problematic manner. New models and new analytic tools are needed for these systems. This paper introduces the concept of virtual circuits and draws on recent concepts of network modelling and design to introduce a probabilistic switch theory that can be described using matrices. It can be used to model multistep information flow between people within organisational networks, to provide formal definitions of efficient and balanced networks and to describe distortion of information as it passes along human communication channels. The concept of multi-dimensional information space arises naturally from the use of matrices. The theory and the use of serial diagonal matrices have applications to organisational design and to the modelling of other systems. It is hypothesised that opinion leaders or creative individuals are more likely to emerge at information-rich nodes in networks. A mathematical definition of such nodes is developed and it does not invariably correspond with centrality as defined by early work on networks.
Keyword social network
organisation
probabilistic switch
matrix
knowledge
communication
innovation
non-linearity
intellectual gravitation
Q-Index Code C1

 
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Created: Wed, 15 Aug 2007, 06:42:33 EST