Visualization of large networks with min-cut plots, A-plots and R-MAT

Tools for graph mining

Large real-world graphs often show interesting properties, such as power-law degree distributions and very small diameters. Discovering such patterns and regularities has a wide range of potential applications. It could help us with detecting outliers or abnormal subnetworks (such as terrorist networks or illegal money-laundering rings), maximizing e ciency of disease controlling, marketing, fo...

The Effect of Erosion on Corrosion Protection Properties of Coal Tar Epoxy Coating

In this work, the effect of erosion on corrosion behavior of coal tar epoxy coating was evaluated using electrochemical impedance spectroscopy (EIS) measurements. The surface morphology of the coating was examined by scanning electron microscope (SEM) after 10, 20, 30, 45 and 60 min of erosion process at an impact angle of 90º. After 10 min of erosion process, the Nyquist plots showed just a si...

Nyquist Plots Prediction Using Neural Networks in Corrosion Inhibition of Steel by Schiff Base

The corrosion inhibition effect of N,N′-bis(n-Hydroxybenzaldehyde)-1,3-Propandiimine on mild steel has been investigated in 1 M HCl using electrochemical impedance spectroscopy. A predictive model was presented for Nyquist plots using an artificial neural network. The proposed model predicted the imaginary impedance based on the real part of the impedance as a function of time. The model to...

Relationships among the seed yield from small and large plots in common beans

Generalized scatter plots

' Corresponding author. Abstract Scatter Plots are one of the most powerful and most widely used techniques for visual data exploration. A well-known problem is that scatter plots often have a high degree of overlap, which may occlude a significant portion of the data values shown. In this paper, we propose th e generalized scatter plot technique, which allows an overlap-free representation of ...