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A data model to deal with multi-scaled networks
AbstractThis paper presents the merging of graph theory concepts and the object-oriented paradigm to model network oriented data. The introduction of the master nodes (resp. master edges) allows to define a node (resp. an edge) as an abstraction of a sub-network. A network can be defined using several levels of definition (detail) following the importance of the nodes (resp. the edges) within an application. The object-oriented concepts are applied to the alphanumerical parts of the data and to model the topology of the graph. We define in this paper the structure (but not the behavior) of the multi-level networks.
A data model to deal with multi-scaled networks
AbstractThis paper presents the merging of graph theory concepts and the object-oriented paradigm to model network oriented data. The introduction of the master nodes (resp. master edges) allows to define a node (resp. an edge) as an abstraction of a sub-network. A network can be defined using several levels of definition (detail) following the importance of the nodes (resp. the edges) within an application. The object-oriented concepts are applied to the alphanumerical parts of the data and to model the topology of the graph. We define in this paper the structure (but not the behavior) of the multi-level networks.
A data model to deal with multi-scaled networks
Mainguenaud, M. (Autor:in) / Simatic, X.T. (Autor:in)
Computers, Environments and Urban Systems ; 16 ; 281-288
01.01.1992
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Cost and Time Scaled Networks: Graphical Model
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