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Identifying outlier nodes is an important task in complex network mining, which can be done taking into account several criteria. For example, if we consider only the connectivity of the nodes in a scale-free network, the most outlier nodes will be the hubs because its connectivity is much higher than the average connectivity of the network. Here, we consider the random walk distance measure. The...
Identifying outlier nodes is an important task in complex network mining. In this paper, we analyze the problem of identifying outliers in a network structure and propose an outlier measure by using the random walk distance measure and the dissimilarity index between pairs of vertices. Our method determines a “view” to the whole network for each node and infers that outliers are those nodes whose...
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