Complex dynamics in information sharing networks
Cronin, Bruce (2010) Complex dynamics in information sharing networks. In: Memon, Nasrullah and Alhajj, Reda, (eds.) From Sociology to Computing in Social Networks: Theory, Foundations and Applications. Lecture Notes in Social Networks (1). Springer-Verlag/Wien, New York, USA, pp. 157-176. ISBN 9783709102930 (doi:10.1007/978-3-7091-0294-7_9)Full text not available from this repository.
This study examines the roll-out of an electronic knowledge base in a medium-sized professional services firm over a six year period. The efficiency of such implementation is a key business problem in IT systems of this type. Data from usage logs provides the basis for analysis of the dynamic evolution of social networks around the depository during this time. The adoption pattern follows an “s-curve” and usage exhibits something of a power law distribution, both attributable to network effects and network position is associated with organisational performance on a number of indicators. But periodicity in usage is evident and the usage distribution displays an exponential cut-off. Further analysis provides some evidence of mathematical complexity in the periodicity. Some implications of complex patterns in social network data for research and management are discussed. The study provides a case study demonstrating the utility of the broad methodological approach.
|Item Type:||Book Section|
|Uncontrolled Keywords:||information sharing, knowledge base, social complexity, dynamics, social network analysis, Fourier analysis,|
|Subjects:||H Social Sciences > HM Sociology|
|School / Department / Research Groups:||School of Business|
School of Business > Centre for Business Network Analysis
School of Business > Department of International Business & Economics
|Last Modified:||09 Jan 2013 10:40|
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