The analysis of multiple time series data, which are generated from a networked system, has attracted much attention recently. This technique has been used in a wide range of applications including functional brain network analysis of neuroimaging data and social influence analysis. In functional brain network analysis, the activity of different brain regions can be represented as multiple time...

In optimizing information flows in networks, it would be useful to predict aspects of the network traffic. Yet, the notion of predicting network traffic does not appear in the relevant literature reporting analysis of network traffic. This literature is both well developed and skeptical about the value of traditional time series analysis on network data. It has consistently reported three “traf...

This paper describes an advantageous method for using the capacitor banks in the distribution network, optimally. The aim is to determine the count, location and capacitor values in order to minimize the annual cost resulting from energy losses and capacitor bank’s installation cost. Besides, in the case of having nonlinear loads in the network, by installing capacitors in appropriate locations...

Precipitation forecasting due to its random nature in space and time always faced with many problems and this uncertainty reduces the validity of the forecasting model. Nowadays nonlinear networks as intelligent systems to predict such complex phenomena are widely used. One of the methods that have been considered in recent years in the fields of hydrology is use of wavelet transform as a moder...

background: the aim of this study was to survey the iranian parasitology researchers’ performance, and analyse and visualize the scientific outputs of their co-authorship network. methods: this study was conducted using scientometric method and social network analysis (sna). the data extracted from the web of science (wos) databases in july 10th 2014. totally, 1048documents of all types in rese...