Paper Info
Title
A partitioned random network agent model for organizational sectionalism studies
Abstract
This paper presents a new organization model that addresses the effects of networks on the sectionalism phenomenon, defined as excessive concern that members of a section have for the interests of their own section. No studies tackled the relationship between human communication networks and sectionalism. The points of our model design are: network distributed agents with a sense of values, extended random network structures, and a new index to monitor sectionalism. A homogeneous effect of communication networks and a heterogeneous effect of sectional specialization were also introduced into the model. Empirical results showed that sectionalism behavior and the performance of the proposed index were superior to conventional indices when capturing sectional structures. Finally, we showed one example of the availability of such a multi-agent network approach. Simulation results clearly illustrated the effect of cross-sectional links on sectionalism reduction by following a so-called "power law."
Year
DOI
Venue
2004
10.1007/978-3-540-71009-7_10
JSAI Workshops
Keywords
Field
DocType
model design,sectionalism phenomenon,partitioned random network agent,sectionalism reduction,organizational sectionalism study,multi-agent network approach,homogeneous effect,extended random network structure,human communication network,heterogeneous effect,communication network,sectionalism behavior
Telecommunications network,Random graph,Organizational model,Homogeneous,Sectionalism,Artificial intelligence,Engineering,Phenomenon,Human communication,Distributed computing
Conference
Volume
ISSN
ISBN
3609
0302-9743
3-540-71008-6
Citations 
PageRank 
References 
0
0.34
2
Authors
6
Name
Order
Citations
PageRank
Kikuo Yuta1446.27
Yoshi Fujiwara25811.10
Wataru Souma332.87
Keiki Takadama426585.47
Katsunori Shimohara5327106.53
Osamu Katai613728.35