“…In IFN, it reflected the importance of an individual in connecting groups or individuals. The Cb of individual j can be defined as follows [33]:…”
Section: The Proposed Approachmentioning
confidence: 99%
“…• Closeness Centrality Cc: Represents the reciprocal of the sum of all the shortest paths of a node to other network nodes. In IFN, it determined how close an individual to other individuals and can be described by [33]:…”
“…In IFN, it reflected the importance of an individual in connecting groups or individuals. The Cb of individual j can be defined as follows [33]:…”
Section: The Proposed Approachmentioning
confidence: 99%
“…• Closeness Centrality Cc: Represents the reciprocal of the sum of all the shortest paths of a node to other network nodes. In IFN, it determined how close an individual to other individuals and can be described by [33]:…”
“…This paper tries to involve network measurements in the analysis of the relations among vulnerabilities. Below, we list the ones we involve in this article and can be classified in two levels [7], [8]; Network Level, and Nodes Level:…”
Section: Introductionmentioning
confidence: 99%
“…• Network Density (Ds): a dense network is a graph (G) that has the maximum number of edges (E). It reflects the ratio of the number of the actual network edges to the number of potential edges in that network [8]: • Average Clustering Coefficient (c): clustering coefficient of a node is the proportion of the frequency of connections among node's neighbors to the maximum number of such connections. For the entire network, c represents the average of the clustering coefficient for all network nodes.…”
Section: Introductionmentioning
confidence: 99%
“…For the entire network, c represents the average of the clustering coefficient for all network nodes. The c of a vulnerability I can be formalized as follows [8].…”
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