Digital terrain model (DTM) is an integral part of many geodetic works. It allows accurately reproducing the earth's surface in a digital form with varying levels detail. One most significant problems creating DTM accuracy reflecting relief. In first work, analysis methods that can more detailed reflect relief was already conducted. For these purposes, Surfer geoinformation package selected, wh...

This study was developed to carry out a comprehensive radiological assessment of natural radioactivity for river sediment samples from Calabria, southern Italy, and define baseline background the area on radiation map. In studied area, elevated levels radionuclides are expected, due outcropping acidic intrusive metamorphic rocks which radioactive elements derive. To identify quantify radioisoto...

We suggest a revision to the PageRank random surfer model that considers the influence of a population of random surfers on the PageRank vector. In the revised model, each member of the population has its own teleportation parameter chosen from a probability distribution, and consequently, the ranking vector is random. We propose three algorithms for computing the statistics of the random ranki...

We examine how three different communication processes operating through social networks are affected by homophily – the tendency of individuals to associate with others similar to themselves. We show that homophily has no effect in settings where messages reach their destinations by shortest paths; only connection density matters. In contrast, homophily substantially slows learning based on re...

PageRank is one of the principle criteria according to which Google ranks Web pages. PageRank can be interpreted as a frequency of visiting a Web page by a random surfer and thus it reflects the popularity of a Web page. Google computes the PageRank using the power iteration method which requires about one week of intensive computations. In the present work we propose and analyze Monte Carlo ty...

The traditional link analysis algorithms exploit the context information inherent in the hyperlink structure of the Web, with the premise being that a link from page A to page B denotes an endorsement of the quality of B. The exemplary PageRank algorithm weighs backlinks with a random surfer model; Kleinberg’s HITS algorithm promotes the use of hubs and authorities over a base set ; Lempel and ...

The PageRank equation computes the importance of pages in a web graph relative to a single random surfer with a constant teleportation coefficient. To be globally relevant, the teleportation coefficient should account for the influence of all users. Therefore, we correct the PageRank formulation by modeling the teleportation coefficient as a random variable distributed according to user behavio...

The aim of this paper is to identify the adopters and non-adopters of Broadband within the silver surfer group. This was achieved using the British Household Panel Survey, a large scale survey used to collect data from UK households. The data was analysed using statistical tools, such as, SPSS v. 15. The conclusions drawn are that Broadband will be adopted in nuclear households (no presence of ...

Link analysis algorithms for Web search engines determine the importance and relevance of Web pages. Among the link analysis algorithms, PageRank is the state of the art ranking mechanism that is used in Google search engine today. The PageRank algorithm is modeled as the behavior of a randomized Web surfer; this model can be seen as Markov chain to predict the behavior of a system that travels...