Electric Power Communication Network Evaluation Based on Clustering by Fast Search and Finding of Density Peaks.

Node evaluation is an important topic in electric power communication network studies. In the view of the problem of single connection weights and single evaluation index for node importance evaluation, the bandwidth and the distance of the electric power communication network is used for the network's weight to compute three evaluating indicators: compactness, node degree and node spread. We use the "fast search and finding of density peaks" method to evaluate the importance of the nodes in power communication network to support the planning of grid communications, and to carry out unsupervised classification when the nodes are divided into four fragile levels. This can effectively improve the unsupervised classification method. Actual data from a province in China is tested to verify the usefulness of this method in electric power communication network. [ABSTRACT FROM AUTHOR]