Modularity, since its introduction, has remained one of the most widely used metrics to assess the quality of community structure in a complex network. However the resolution limit problem associated with modularity limits its applicability to networks with community sizes smaller than a certain scale. In the past various attempts have been made to solve this problem. More recently a new metric...

This paper considers the detection of change points in parallel data streams, a problem widely encountered when analyzing large-scale real-time streaming data. Each stream may have its own point, at which has distributional change. With sequentially observed data, decision maker needs to declare whether changes already occurred streams each time point.Once is declared changed, it deactivated pe...

community-acquired pneumonia and brucellosis are of the main agents causing mortality in the world. the most important limitations for the identification of these agents include their high resistance against environmental conditions, impossibility of rapid and on time diagnosis, low level of infective dose, and lack of existence of vaccine against many types of them. hence, on time action and d...

We study non-parametric measures for the problem of comparing distributions, which arise in anomaly detection for continuous time series. Non-parametric measures take two distributions as input and produce two numbers as output: the difference between the input distributions and the statistical significance of this difference. Some of these measures, such as Kullback-Leibler measure, are define...