TY - JOUR
T1 - A probabilistic model of integration
AU - Olariu, Stephan
AU - Nickerson, Jeffrey V.
PY - 2008/11
Y1 - 2008/11
N2 - We propose a probabilistic model of integration where decisions about integration are made based on the perceived ensuing benefit. Integration proceeds in a pairwise manner. This model provides a way to think formally about the integration processes in networks. The model considers information decay over time, and relates decisions to integrate to the value of the information the nodes possess. A sensor network designed to detect intruders is used as an illustrative example. Other applications of the model are suggested: information systems integration, as well as the merger of corporations.
AB - We propose a probabilistic model of integration where decisions about integration are made based on the perceived ensuing benefit. Integration proceeds in a pairwise manner. This model provides a way to think formally about the integration processes in networks. The model considers information decay over time, and relates decisions to integrate to the value of the information the nodes possess. A sensor network designed to detect intruders is used as an illustrative example. Other applications of the model are suggested: information systems integration, as well as the merger of corporations.
KW - Information economics
KW - Integration
KW - Network design
KW - Preferential attachment
KW - Sensor networks
KW - Social networks
UR - http://www.scopus.com/inward/record.url?scp=53349097990&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=53349097990&partnerID=8YFLogxK
U2 - 10.1016/j.dss.2007.12.010
DO - 10.1016/j.dss.2007.12.010
M3 - Article
AN - SCOPUS:53349097990
SN - 0167-9236
VL - 45
SP - 746
EP - 763
JO - Decision Support Systems
JF - Decision Support Systems
IS - 4
ER -