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Complex adaptive information flow and search transfer analysis

Feczak, Szabolcs; Hossain, Liaquat LU and Carlsson, Sven LU (2014) In Knowledge Management Research & Practice 12(1). p.29-35
Abstract
Studying information flow between node clusters can be conceptualised as an important challenge for the knowledge management research and practice community. We are confronted with issues related to establishing links between nodes and/or clusters during the process of information flow and search transfer in large distributed networks. In the case of missing socio-technical links, social networks can be instrumental in supporting the communities of practice interested in sharing and transferring knowledge across informal links. A comprehensive review of methodology for detecting missing links is provided. The proportion of common neighbours was selected as best practice to elicit missing links from a large health insurance data set.... (More)
Studying information flow between node clusters can be conceptualised as an important challenge for the knowledge management research and practice community. We are confronted with issues related to establishing links between nodes and/or clusters during the process of information flow and search transfer in large distributed networks. In the case of missing socio-technical links, social networks can be instrumental in supporting the communities of practice interested in sharing and transferring knowledge across informal links. A comprehensive review of methodology for detecting missing links is provided. The proportion of common neighbours was selected as best practice to elicit missing links from a large health insurance data set. Weights were based on geographical arrangements of providers and the dollar value of transactions. The core network was elicited based on statistical thresholds. Suspicious, possibly fraudulent, behaviour is highlighted based on social network measures of the core. Our findings are supported by a health insurance industry expert panel. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
socio-technical systems, organisational learning, networks, case study
in
Knowledge Management Research & Practice
volume
12
issue
1
pages
29 - 35
publisher
Palgrave Macmillan
external identifiers
  • wos:000332352400003
  • scopus:84893916559
ISSN
1477-8246
DOI
10.1057/kmrp.2012.47
language
English
LU publication?
yes
id
5c3967c9-756e-4481-8bef-8a77ef511402 (old id 4418922)
date added to LUP
2014-04-29 12:58:56
date last changed
2017-01-01 03:01:17
@article{5c3967c9-756e-4481-8bef-8a77ef511402,
  abstract     = {Studying information flow between node clusters can be conceptualised as an important challenge for the knowledge management research and practice community. We are confronted with issues related to establishing links between nodes and/or clusters during the process of information flow and search transfer in large distributed networks. In the case of missing socio-technical links, social networks can be instrumental in supporting the communities of practice interested in sharing and transferring knowledge across informal links. A comprehensive review of methodology for detecting missing links is provided. The proportion of common neighbours was selected as best practice to elicit missing links from a large health insurance data set. Weights were based on geographical arrangements of providers and the dollar value of transactions. The core network was elicited based on statistical thresholds. Suspicious, possibly fraudulent, behaviour is highlighted based on social network measures of the core. Our findings are supported by a health insurance industry expert panel.},
  author       = {Feczak, Szabolcs and Hossain, Liaquat and Carlsson, Sven},
  issn         = {1477-8246},
  keyword      = {socio-technical systems,organisational learning,networks,case study},
  language     = {eng},
  number       = {1},
  pages        = {29--35},
  publisher    = {Palgrave Macmillan},
  series       = {Knowledge Management Research & Practice},
  title        = {Complex adaptive information flow and search transfer analysis},
  url          = {http://dx.doi.org/10.1057/kmrp.2012.47},
  volume       = {12},
  year         = {2014},
}