Quotation Hofmarcher, Paul, Grün, Bettina, Hornik, Kurt, Mair, Patrick. 2013. Determining the similarity between US cities using a gravity model for search engine query data.. In: Algorithms from and for Nature and Life - Studies in Classification, Data Analysis, and Knowledge Organization,, Hrsg. Berthold Lausen, Dirk Van den Poel, Alfred Ultsch, 243-250. Wien: Springer.


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Abstract

In this paper we use the gravity model to estimate the similarity of US cities based on data provided by Google Trends (GT). GT allows to look up search terms and to obtain ranked lists of US cities according to the relative frequencies of requests for each term. The occurences of the US cities on these ranked lists are used to determine the similarities with the gravity model. As search terms for GT serve dictionaries derived from the General Inquirer (GI), containing the categories Economy and Politics/Legal. The estimated similarity scores are visualized with multidimensional scaling (MDS).

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Chapter in edited volume
Language English
Title Determining the similarity between US cities using a gravity model for search engine query data.
Title of whole publication Algorithms from and for Nature and Life - Studies in Classification, Data Analysis, and Knowledge Organization,
Editor Berthold Lausen, Dirk Van den Poel, Alfred Ultsch
Page from 243
Page to 250
Location Wien
Publisher Springer
Year 2013
URL http://www.springerprofessional.de/024---determining-the-similarity-between-us-cities-using-a-gravity-model-for-search-engine-query-data/4647580.html

Associations

People
Hofmarcher, Paul (Details)
Grün, Bettina (Details)
Hornik, Kurt (Details)
Mair, Patrick (Former researcher)
Organization
Institute for Statistics and Mathematics IN (Details)
Research Institute for Computational Methods FI (Details)
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