We introduce the characterization of a class of quantum PageRank algorithms in a scenario in which some kind of quantum network is realizable out of the current classical internet web, but no quantum computer is yet available. This class represents a quantization of the PageRank protocol currently employed to list web pages according to their importance. We have found an instance of this class ...

The web is big. Really big. This is good because the Web now encompasses the entire history, culture, science, and achievements of the human race, not to mention JPEGs of every romantically eligible member of that race under the age of 35. This is bad because it is now too big to find anything. The ‘Hitch-Hikers Guide to Google’ is a collection of patterns that will be your guide through the In...

We apply the approach of the Google matrix, used in computer science and World Wide Web, to description of properties of neuronal networks. The Google matrix G is constructed on the basis of neuronal network of a brain model discussed in PNAS 105, 3593 (2008). We show that the spectrum of eigenvalues of G has a gapless structure with long living relaxation modes. The PageRank of the network bec...

Google Scholar has been well received by the research community. Its promises of free, universal and easy access to scientific literature as well as the perception that it covers better than other traditional multidisciplinary databases the areas of the Social Sciences and the Humanities have contributed to the quick expansion of Google Scholar Citations and Google Scholar Metrics: two new bibl...

Purpose – This paper aims to demonstrate the role that the Google general search engine plays in the information-seeking behaviour of scientists, particularly physicists and astronomers. Design/methodology/approach – The paper is based on a mixed-methods study including 56 semi-structured interviews, a questionnaire survey of 114 respondents (47 per cent response rate) and the use of informatio...

Purpose – This article examines internet search query data provided by ‘Google Trends’, with respect to its ability to serve as a sentiment indicator and improve commercial real estate forecasting models for transactions and price indices. Methodology – The study uses data from CoStar the largest data providers of US commercial real estate repeat sales indices. We design three groups of models:...

This paper proposes an integrated device control system called Control Architecture for Networked Devices in Location Environments (CANDLE), which controls devices with Google Maps. Google Maps provides a global map interface and flexible APIs. The main motivation for this study is to provide a search and control system for physically distributed devices using Google Maps. To achieve this, the ...

Google Suggest is a service incorporated within Google Web Search which was created to help user find the right search phrase by proposing the autocompleting popular phrases while typing. The paper presents a new network steganography method called StegSuggest which utilizes suggestions generated by Google Suggest as a hidden data carrier. The detailed description of the method’s idea is backed...

Purpose – To identify the pros and the cons of Google Scholar. Design/methodology/approach – Chronicles the recent history of the Google Scholar search engine from its inception in November 2004 and critiques it with regard to its merits and demerits. Findings – Feels that there are massive content omissions presently but that, with future changes in its structure, Google Scholar will become an...

Google Docs is a well-known suite of online collaborative tools for document processing, spreadsheets, online presentations, drawing and even forms. The last versions of the major open source LMS Moodle, offers weak integrations with Google Docs treating it as a content repository. But these integrations are neglecting the collaborative qualities of the Google Docs suite and its potential as a ...