In this paper we first explain the Knowledge Extraction (KE) process from World Wide Web (WWW) using Search engines. Then we explore the PageRank algorithm of Google Search engine (one of the famous link based search engine) with its hidden Markov analysis. In that we also explore one of the problems of Link based ranking algorithms called hanging pages or dangling pages (pages without any forw...

In this paper we briefly review some of our recent results on the research of the design and analysis of search engine algorithms. The contents include: the limiting behavior of PageRank when the damping factor tends to 1; comparison of the convergence rate of maximal and minimal irreducible Markov chains on the Internet; a new proposal of N -step PageRank algorithm; a new proposal of ranking W...

SpiNNaker is a neuromorphic hardware platform, especially designed for the simulation of Spiking Neural Networks (SNNs). To this end, platform features massively parallel computation and an efficient communication infrastructure based on transmission small packets. The effectiveness in execution PageRank (PR) algorithm has been tested by realization custom SNN implementation. In work, we propos...

Recently, the research community has devoted increased attention to reducing the computational time needed by web ranking algorithms. In particular, many techniques have been proposed to speed up the well-known PageRank algorithm used by Google. This interest is motivated by two dominant factors: (1) the web graph has huge dimensions and is subject to dramatic updates in terms of nodes and link...

The short-video platform is a social network where users’ content accelerates the speed of information dissemination. Hence, it necessary to identify important users effectively obtain information. Four algorithms (Followers Rank, Average Forwarding, K Coverage, and Expert Survey Evaluation) have been proposed calculate influence determine their importance. These methods simply take number user...

Link based authority analysis is an important tool for ranking resources in social networks and other graphs. Previous work have presented JP , a decentralized algorithm for computing PageRank scores. The algorithm is designed to work in distributed systems, such as peer-to-peer (P2P) networks. However, the dynamics of the P2P networks, one if its main characteristics, is currently not handled ...