Add to ORKGThe author describes how to use Google Correlate™ to compare large-scale Google Search “search term” data over extended time (from 2004 – 2017 / present)
<p>A cross correlogram between the hourly number of ADAC traffic jam reports and the hourly Google s...
Web search engines have become pervasive in recent years, obtaining information easily on a variety ...
<p>Relative attraction and trends based on Google Trends data (a, b, c) and on access-rate time seri...
While many colleagues within science are fed up with the “big data fad”, empirical analyses we condu...
<p>Transformed Google search data for the seven topics studied in 2004–2013 compared to four benchma...
Google Trends is a powerful tool in extracting and comparing searched terms through the time. It sim...
This paper presents the algorithms which power Google Cor-relate[8], a tool which finds web search t...
IntroductionGoogle dominates the market for internet search engines and isso pervasive that the term...
<p>The use of the term “bioinformatics” in Google Trends (<a href="http://www.google.com/trends?q=bi...
“Big data” methodologies bring new potential for humanities research. Google’s Ngram Viewer provides...
BackgroundThe COVID-19 outbreak has revealed a high demand for timely surveillance of pandemic devel...
Inspired by correlations recently discovered between Google search data and financial markets1, we s...
Interest in using internet search data, such as that from the Google Health Trends Application Progr...
This study explored patterns of search query activity for the terms ‘weight’, ‘diet’, ‘fitness’, and...
<p>Graph Showing Google Scholar Results by Year for the Following Search Terms: Coaching, Effectiven...
<p>A cross correlogram between the hourly number of ADAC traffic jam reports and the hourly Google s...
Web search engines have become pervasive in recent years, obtaining information easily on a variety ...
<p>Relative attraction and trends based on Google Trends data (a, b, c) and on access-rate time seri...
While many colleagues within science are fed up with the “big data fad”, empirical analyses we condu...
<p>Transformed Google search data for the seven topics studied in 2004–2013 compared to four benchma...
Google Trends is a powerful tool in extracting and comparing searched terms through the time. It sim...
This paper presents the algorithms which power Google Cor-relate[8], a tool which finds web search t...
IntroductionGoogle dominates the market for internet search engines and isso pervasive that the term...
<p>The use of the term “bioinformatics” in Google Trends (<a href="http://www.google.com/trends?q=bi...
“Big data” methodologies bring new potential for humanities research. Google’s Ngram Viewer provides...
BackgroundThe COVID-19 outbreak has revealed a high demand for timely surveillance of pandemic devel...
Inspired by correlations recently discovered between Google search data and financial markets1, we s...
Interest in using internet search data, such as that from the Google Health Trends Application Progr...
This study explored patterns of search query activity for the terms ‘weight’, ‘diet’, ‘fitness’, and...
<p>Graph Showing Google Scholar Results by Year for the Following Search Terms: Coaching, Effectiven...
<p>A cross correlogram between the hourly number of ADAC traffic jam reports and the hourly Google s...
Web search engines have become pervasive in recent years, obtaining information easily on a variety ...
<p>Relative attraction and trends based on Google Trends data (a, b, c) and on access-rate time seri...