Google Pagerank And Beyond

Why doesn't your home page appear on the first page of search results, even when you query your own name? How do other web pages always appear at the top? What creates these powerful rankings? And how? The first book ever about the science of web page rankings, Google's PageRank and Beyond supplies the answers to these and other questions and more. The book serves two very different audiences: the curious science reader and the technical computational reader. The chapters build in mathematical sophistication, so that the first five are accessible to the general academic reader. While other chapters are much more mathematical in nature, each one contains something for both audiences. For example, the authors include entertaining asides such as how search engines make money and how the Great Firewall of China influences research. The book includes an extensive background chapter designed to help readers learn more about the mathematics of search engines, and it contains several MATLAB codes and links to sample web data sets. The philosophy throughout is to encourage readers to experiment with the ideas and algorithms in the text. Any business seriously interested in improving its rankings in the major search engines can benefit from the clear examples, sample code, and list of resources provided. Many illustrative examples and entertaining asides MATLAB code Accessible and informal style Complete and self-contained section for mathematics review

Why doesn't your home page appear on the first page of search results, even when you query your own name? How do other web pages always appear at the top? What creates these powerful rankings? And how? The first book ever about the science of web page rankings, Google's PageRank and Beyond supplies the answers to these and other questions and more. The book serves two very different audiences: the curious science reader and the technical computational reader. The chapters build in mathematical sophistication, so that the first five are accessible to the general academic reader. While other chapters are much more mathematical in nature, each one contains something for both audiences. For example, the authors include entertaining asides such as how search engines make money and how the Great Firewall of China influences research. The book includes an extensive background chapter designed to help readers learn more about the mathematics of search engines, and it contains several MATLAB codes and links to sample web data sets. The philosophy throughout is to encourage readers to experiment with the ideas and algorithms in the text. Any business seriously interested in improving its rankings in the major search engines can benefit from the clear examples, sample code, and list of resources provided. Many illustrative examples and entertaining asides MATLAB code Accessible and informal style Complete and self-contained section for mathematics review

A comprehensive, state-of-the-art examination of the changing ways we measure scholarly performance and research impact.

Finding Augusta breaks new ground, revising how media studies interpret the relationship between our bodies and technology. This is a challenging exploration of how, for both good and ill, the sudden ubiquity of mobile devices, GPS systems, haptic technologies, and other forms of media alter individuals' experience of their bodies and shape the social collective. The author succeeds in problematizing the most salient fact of contemporary mobile media technologies, namely, that they have become, like highways and plumbing, an infrastructure that regulates habit. Audacious in its originality, Finding Augusta will be of great interest to art and media scholars alike.

This book provides a comprehensive treatment of the rapidly changing world of Web-based business technologies and their often-disruptive innovations. The history of the Web is a short one. Indeed many college graduates today were not even born when the Web first emerged. It is therefore an opportune time to view the Web as having reached the point of graduation. The Web has led to new ways in which businesses connect and operate, and how individuals communicate and socialize; related technologies include cloud computing, social commerce, crowd sourcing, and the Internet of Things, to name but a few. These developments, including their technological foundations and business impacts, are at the heart of the book. It contextualizes these topics by providing a brief history of the World Wide Web, both in terms of the technological evolution and its resultant business impacts. The book was written for a broad audience, including technology managers and students in higher education. It is also intended as a guide for people who grew up with a background in business administration or engineering or a related area but who, in the course of their career paths, have reached a point where IT-related decisions have become their daily business, e.g., in digital transformation. The book describes the most important Web technologies and related business applications, and especially focuses on the business implications of these technologies. As such, it offers a solid technology- and business-focused view on the impact of the Web, and balances rules and approaches for strategy development and decision making with a certain technical understanding of what goes on “behind the scenes.”

BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

The Invisible Web, also known as the Deep Web, is a huge repository of underutilized resources that can be richly rewarding to searchers who make the effort to find them. Since Jane Devine and Francine Egger-Sider explored the educational potentials of this realm in Going Beyond Google: The Invisible Web in Learning and Teaching, the information world has grown even more complex, with more participants, more content, more formats, and more means of access. Demonstrating why teaching the Invisible Web should be a requirement for information literacy education in the 21st century, here the authors expand on the teaching foundation provided in the first book and persuasively argue that the Invisible Web is still relevant not only to student research but also to everyday life. Intended for anyone who conducts research on the web, including students, teachers, information professionals, and general users, their book Defines the characteristics of the Invisible Web, both technologically and cognitively Provides a literature review of students’ information-seeking habits, concentrating on recent research Surveys the theory and practice of teaching the Invisible Web Shows ways to transform students into better researchers Highlights teaching resources such as graphics, videos, and tutorials Offers an assortment of tools, both public and proprietary, for trawling the Invisible Web Looks at the future of the Invisible Web, with thoughts on how changes in search technology will affect users, particularly students learning to conduct research