OBJECTIVE Social media exhibit rich yet distinct temporal dynamics which cover a wide range of different scales. In order to study this complex dynamics, two fundamental questions revolve around (1) the signatures of social dynamics at different time scales, and (2) the way in which these signatures interact and form higher-level meanings. METHOD In this paper, we propose the Recursive Convol...

in this paper, an improved method (improved an-eul) is presented. this method is based on the combination of the analytical signal and the euler deconvolution method. two important parameters such as location and approximate geometry of a magnetic source can be obtained using the conventional an-eul method. altitude of ground and height in upward continuation has been considered for depth deter...

Due to abundant spectral information contained in the hyperspectral images, they are suitable data for anomalous targets detection. The use of spatial features in addition to spectral ones can improve the anomaly detection performance. An anomaly detector, called nonparametric spectral-spatial detector (NSSD), is proposed in this work which utilizes the benefits of spatial features and local st...

Attributed networks, in which network connectivity and node attributes are available, have been increasingly used to model real-world information systems, such as social media and e-commerce platforms. While outlier detection has been extensively studied to identify anomalies that deviate from certain chosen background, existing algorithms cannot be directly applied on attributed networks due t...

It is considered whether anomaly detection techniques might be used to determine potentially malicious behavior by service providers. Data mining techniques can be used to derive patterns of repeating behavior from logs of past interactions between service consumers and providers. Consumers may use these patterns to detect anomalous provider behavior, while providers may seek to adapt their beh...

Department of Mathematics Imperial College 180 Queen’s Gate, London SW7 2BZ, U.K. and Department of Physics “G. Galilei” Istituto Nazionale di Fisica Nucleare University of Padova Via Marzolo, 8 35131 Padova, Italy ABSTRACT This is the first part of an investigation concerning the formulation of 2D gravity in the framework of the uniformization theory of Riemann surfaces. As a first step in thi...

What does a ‘normal’ computer (or social) network look like? How can we spot ‘abnormal’ sub-networks in the Internet, or web graph? The answer to such questions is vital for outlier detection (terrorist networks, or illegal money-laundering rings), forecasting, and simulations (“how will a computer virus spread?”). The heart of the problem is finding the properties of real graphs that seem to p...

World Wide Web (WWW) has huge number of Web pages with various types of information and has become one of the main resources of knowledge nowadays. Since more than two billion people currently use Internet and Social network Websites, therefore exploration of different effects of Internet usage on various aspects of life of these users is very essential for both business owners and academic adv...

Extreme data points, or outliers, can have a disproportionate influence on the conclusions drawn from a set of bivariate correlational data. This paper addresses two aspects of outlier detection. The results of a survey regarding how published researchers prefer to deal with outliers are presented, and a set of 183 test validity studies is examined to document the effects of different approache...