Google Trends is Google Inc.'s public web facility, based on Google Search, which shows how often certain search terms were entered relative to total search volume in different regions of the world, and in multiple languages. The horizontal axis of the main graph represents time (starting from 2004), and the vertical is how often the term is searched for relative to the total number of searches, globally. Below the main graph, popularity is broken down by country, region, city, and language. Note that the so-called Google "language", however, does not display relative search results in different languages ​​for the same term (s). This only displays the relative combined search volume of all countries sharing a particular language (see "flowers" vs. "fleurs"). It is possible to refine the main graph by region and time period. On August 5, 2008, Google launched Google Insights for Search, a more sophisticated and sophisticated service featuring search trend data. On September 27, 2012, Google combines Google Insights for Search to Google Trends.
Video Google Trends
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Google Trends also allows users to compare relative search volumes between two or more terms.
Initially, Google ignored updating Google Trends on a regular basis. In March 2007, internet bloggers noticed that Google has not added any new data since November 2006, and Trends updated in a week. Google does not update Trends from March to July 30, and only after blogging about, again. Google now claims to be "updating the information provided by Google Trends every day; Hot Trends are updated hourly."
On August 6, 2008, Google launched a free service called Insights for Search. Insights for Search is an extension of Google Trends and although this tool is meant for marketers, it can be used by any user. This tool allows tracking of various words and phrases typed into the Google search box. Tracking tools provide a more in-depth analysis of results. It also has the ability to categorize and organize data, with particular attention being given to detailed information based on geographical areas. As of 2012, Insights for Search has been merged into Google Trends with a new interface.
In 2009, Yossi Matias et al. publishes research on the predictability of search trends. In a series of highly influential articles in The New York Times, Seth Stephens-Davidowitz uses Google Trends to measure behavior. For example, in June 2012, he argued that the search volume for the word "negro (s)" could be used to measure racism in different parts of the United States. Related to this size with Obama's share of votes, he calculates that Obama lost about 4 percentage points due to racial animus in the 2008 presidential election. He also uses Google data, along with other sources, to estimate the size of the gay population. This article notes that the most popular search that started "is my husband" is "is my husband gay?" In addition, he found that American parents are more likely to seek "is my child gifted?" from "is my son talented?" But they are more likely to seek "is my child overweight?" from "is my child overweight?" He also examined cultural differences in attitudes around pregnancy.
The evidence is provided by Jeremy Ginsberg et al. Google Trends data can be used to track diseases like influenza in a population. Because the relative frequency of a particular question is highly correlated with the percentage of physician visits in which patients present with influenza-like symptoms, estimates of weekly influenza activity can be reported. A more sophisticated model for summing up the level of influenza from Google Trends, which overcomes its predecessor error has been proposed by Lampos et al. The conclusions (rates of influenza-like illness) from this model for the UK are presented on the Flu Detector website.
Furthermore, it is shown by Tobias Preis et al. that there is a correlation between Google Trends data of the company name and the volume of transactions of the corresponding stock on the weekly time scale.
In April 2012, Tobias Preis, Helen Susannah Moat, H. Eugene Stanley, and Steven R. Bishop used Google Trends data to show that Internet users from countries with higher per capita gross domestic product (GDP) were more likely to seek information about the future rather than information about the past. The findings, published in the journal Scientific Reports, suggest there may be a link between online behavior and real-world economic indicators. The authors of this study examined Google search queries made by Internet users in 45 different countries in 2010 and calculated search volume ratios for the coming year ('2011') for search volume for the previous year ('2009'), which they called 'future orientation index'. They compare the future orientation index to GDP per capita of each country and find a strong trend for countries where Google users are asking more about the future to show higher GDP. The results suggest that there may be a link between a country's economic success and the information seeking behavior of its citizens online.
In April 2013, Tobias Preis and his colleagues Helen Susannah Moat and H. Eugene Stanley introduced methods to identify online precursors for stock market movements, using trading strategies based on search volume data provided by Google Trends. Their analysis of Google's search volume for 98 terms of various financial relevance, published in Scientific Report , shows that an increase in search volume for financially relevant search terms tends to precede major losses in financial markets.
The Tobias Preis analysis was later found to be misleading and the results were likely to be excessive. The Damien Challet group tested the same methodology as the word financial market search, such as the term for illness, car brand or computer game. They have found that all of these classes provide an equally good "predictability" of financial markets as previously set out. For example, search terms like "bone cancer", "Shelby GT 500" (car brand), "Moon Patrol" (computer game) provide better performance as selected in the original work.
Maps Google Trends
Search quota
Google has included a quota limit for Trends searches. This limits the number of available search attempts per user/IP/device. Quota limit details are not yet provided, but may depend on geographic location or browser privacy settings. It has been reported in some cases that this quota is achieved very quickly if you are not signed in to your Google account before attempting to access trending services
Google Hot Trends
Google Hot Trends is an addition to Google Trends featuring the top 20 hot, that is, the fastest increase, search (search terms) of the last hour in different countries. This is for a search that has recently experienced a sudden spike in popularity. For each of these search terms, it provides a 24-hour search volume graph as well as blogs, news and web search results. Hot Trends has a history feature for those who want to search for hot searches. Hot Trends can be installed as iGoogle Gadgets. Hot Trends is also available as an Atom web feed per hour.
Google Trends for websites
Since 2008 there has been a subset of Google Trends that analyzes traffic for websites, not traffic for search terms. This is a service similar to that provided by Alexa Internet. Google Trends for Website becomes unavailable after the September 27, 2012 release of the new google trend product.
Google Trends API
API to accompany Google Trends service announced by Marissa Mayer, then vice president of search products and user experience at Google. It was announced in 2007, and so far has not been released.
Some unofficial Google Trends API tools have been released, along with a wiki detailing them and simple access to Google Trends data. Additionally, in May 2018, software developer Martin Spano released a Google Trends extension called KeywordsApp, which is an online database of over 300 million top Google keywords.
Data implications
A group of researchers at Wellesley College examined data from Google Trends and analyzed how effective the tool could be in predicting US Congressional elections in 2008 and 2010. In a highly contested race in which data for both candidates is available, the data successfully predicts the results at 33.3% of cases in 2008 and 39% in 2010. The authors concluded that, compared to traditional methods of forecasting elections, inclusions and New York Times polls, and even compared to random opportunities, Google Trends did not prove to be a good predictor of both the 2008 election or 2010. Other groups have also explored the possible implications for financial markets and suggested possible ways to combine insights from Google Trends with other concepts in technical analysis.
See also
- Alexa Internet
- Google Insights
- Google Ngram Viewer
- Wikipedia page views
Note
External links
- Official website
- Google Hot Trends - The webpage of the top 20 search terms, each linking to a 24 hour & amp; data.
Source of the article : Wikipedia
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