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SYSTEM, METHOD AND COMPUTER PROGRAM FOR IDENTIFYING VALUE AGGREGATION POINTS FROM A SET OF SERVICE VALUE MAPS

机译:用于从一组服务值映射中识别值集合点的系统,方法和计算机程序

摘要

A data processing system provides a set of service value maps (SVMs) each having a plurality of nodes and linkages between nodes, forms a network model based on the SVMs and analyses the network model to compute aggregate values for the nodes to enable an identification of a node that matches at least one criterion. Analyzing can include using a degree centrality process where a value for each node is defined as a number of outgoing edges from the node, or an eigenvalue centrality process where a value of a node is proportional to a value of those nodes that the node is connected to. Each SVM can be represented as a directed acyclic graph (DAG) where each edge between nodes is an edge in the DAG. The at least one criterion can include a highest valued node identifying a value aggregation point (VAP) of the set of SVMs.
机译:数据处理系统提供一组服务值图(SVM),每个服务值图具有多个节点和节点之间的链接,基于该SVM形成网络模型,并分析该网络模型以计算节点的集合值以实现对节点的识别。至少符合一个条件的节点。分析可以包括使用度中心性过程(其中每个节点的值定义为该节点的出站边缘的数量),或特征值中心性过程,其中节点的值与该节点所连接的那些节点的值成比例至。每个SVM可以表示为有向无环图(DAG),其中节点之间的每个边都是DAG中的边。至少一个准则可以包括标识该组SVM的值聚集点(VAP)的最高价值的节点。

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