A Mathematical and Sociological Analysis of Google Search Algorithm

2013 ◽  
Author(s):  
Ming-Jun Lai ◽  
Dawn Robinson
Keyword(s):  
Search Algorithm ◽  
Sociological Analysis ◽  
Google Search

Co może wyguglować zatroskany rodzic? Notatki o cyberpanice moralnej

2020 ◽  
pp. 49-62
Author(s):  
Jerzy Stachowicz
Keyword(s):  
Search Algorithm ◽  
Moral Panic ◽  
Digital Network ◽  
Technology Addiction ◽  
Google Search

Parents googling for information about what their children do in the digital network find a number of alarming reports. First of all, they relate to the harmfulness of technology addiction. Why? Is the google search algorithm an amplifier of the moral panic related to online practices of teenagers? This paper attempts to analyse internet discourse including the role played by technology. To describe the phenomena I discuss, I propose the term cyber panic.

scholarly journals Health on the Net: Do Website Searches Return Reliable Health Information on Hemorrhoids and Their Treatment?

2017 ◽  
Vol 102 (5-6) ◽  
pp. 216-221 ◽  
Author(s):  
Matthew W. Ng ◽  
Riley Smith ◽  
Nilmini Wickramesinghe ◽  
Philip J. Smart ◽  
Nathan Lawrentschuk
Keyword(s):  
Health Information ◽  
Web Search ◽  
Search Algorithm ◽  
Treatment Options ◽  
World Health ◽  
The Internet ◽  
Quality Information ◽  
High Quality ◽  
High Quality Information ◽  
Google Search

Objective: To analyze the quality of health information on the Internet on hemorrhoids across 5 Western languages and perform a comparative analysis of website sponsors. Summary of background data: Hemorrhoids are a common condition affecting the hemorrhoid cushions of the anal canal. Many treatment options are available. Information on the Internet on hemorrhoids is considered variable, but there is little data analysis to support this. The World Health Organization's Health On the Net (HON) accredits medical and health websites based on a code of conduct and publishes a toolbar that aids identification of such accredited websites. Methods: Using the Google search engine (http://www.google.com, Google, Mountain View, California), searches were performed using 11 keywords related to hemorrhoids in English, French, German, Italian, and Spanish. Health On the Net accreditation was determined to assess quality website information. The first 150 websites in each language had their adherence to the HON principles analyzed, and English websites were analyzed to determine sponsorship source. Results: Of the 8250 websites analysed, 586 (7.1%) were found to HON-accredited. The rate of HON accreditation ranged from 2.0% (piles) to 10.0% (hemorrhoids), with higher-ranking results having higher rates of HON accreditation (P < 0.001). Conclusion: There is a paucity of high-quality information on the Internet; however, the Google search algorithm prioritizes high-quality information in its web search results.

A Study on the Relationship between Search Engine Optimization Factors and Rank on Google Search Result Page

2014 ◽  
Vol 931-932 ◽  
pp. 1462-1466 ◽  
Author(s):  
Tamrerk Nasomyont ◽  
Nawaporn Wisitpongphan
Keyword(s):  
Search Engine ◽  
Search Algorithm ◽  
Online Marketing ◽  
Result Page ◽  
Search Engine Optimization ◽  
Effective Strategies ◽  
Search Result ◽  
Search Engine Result ◽  
Google Search ◽  
The Relationship

Nowadays, Google has taken a role as a major platform for the Internet search; its search algorithm has been changed periodically, hence being positioned on the first page of the Google search result has a tremendous impact on the online marketing strategy of the organization. Search Engine Optimization (SEO) has been considered as one of the most effective strategies to place the webpage at the top rank of the search engine result. This paper presents the relationship between various SEO factors and the rank in the Search Engine Result Page. The results unravel the key SEO factors, e.g. Backlinks, Keyword, Site structure, that have high degree of relationship with rank in the search engine result page (SERPs).

scholarly journals Short-term forecasting of demographic trends based on Google Trends data

2020 ◽  
Vol 15 (90) ◽  
pp. 91-118
Author(s):  
Irina E. Kalabikhina ◽  
◽  
Vladimir N. Arkhangelsky ◽  
Uliana G. Nikolaeva ◽  
Anton V. Kolotusha ◽  
...  
Keyword(s):  
Search Algorithm ◽  
Demographic Data ◽  
Arima Model ◽  
Google Trends ◽  
Successful Implementation ◽  
Short Term ◽  
Demographic Development ◽  
Demographic Trends ◽  
Operational Monitoring ◽  
Google Search

Demographic indicators are important functions of state programs for the development of Russia, operational monitoring of demographic development is the key to the successful implementation of programs. Very often, government statistics data are published with a delay, which does not allow their use for operational monitoring and planning. In this work, the approach allows for the rapid assessment of demographic processes in the field of formation and forecasting of demographic trends in the short term based on data from query statistics from Google Trends. The relationships between the search queries and demographics are analyzed using Pearson's correlation. The analysis uses annual (total fertility rate, abortions per 100 births, abortions per 1000 women, marriages and divorces per 1000 population) and monthly data (number of births, number of marriages and divorces) by birth, marriages and abortions with and without lags. The analysis is carried out on data for Russia as a whole and for the eight most populated regions: Moscow, Moscow Region, Krasnodar Territory, St. Petersburg, Rostov Region, Sverdlovsk Region, Republic of Tatarstan, Republic of Bashkortostan. Using the temporal metrics available in Google Trends since 2004, some demographics can be predicted based on data from related queries to the Google search algorithm using the ARIMA model. Thus, it is possible to use query data as a supplement to demographic data, when building multiple regression models for demographic calculations, or use it as a proxy variable.

Gott und Google

2015 ◽  
Vol 6 (2) ◽  
pp. 93-108
Author(s):  
John Durham Peters
Keyword(s):  
Digital Media ◽  
Search Algorithm ◽  
Religious Media ◽  
Online Searches ◽  
Google Search ◽  
Media Corporations

Sowohl die Struktur des Google-Suchalgorithmus als auch die Rhetorik rund um das Unternehmen machen den Anspruch Googles deutlich, den klassischen theologischen Status der Allwissenheit zu erreichen. Wenn man versteht, wie Google Online-Recherchen durchführt, erkennt man, dass dieses charakteristischste aller digitalen Medienunternehmen in einer langen Tradition religiöser Medien steht, die in Anspruch nehmen, auf eine ontologische Weise zu operieren. </br></br>Both the structure of the Google search algorithm and the rhetoric surrounding the company suggest Google's aspiration to attain the classic theological status of omniscience. Understanding how Google performs online searches shows that this most characteristic of all digital media corporations fits in a long lineage of religious media that claim to operate ontologically.

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