Determining the similarity between US cities using a gravity model for search engine query data.

Paul Hofmarcher; Bettina Grün; Kurt Hornik; Patrick Mair

Determining the similarity between US cities using a gravity model for search engine query data.

Paul Hofmarcher, Bettina Grün, Kurt Hornik, Patrick Mair

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Sammelwerk

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).

Originalsprache	Englisch
Titel des Sammelwerks	Algorithms from and for Nature and Life - Studies in Classification, Data Analysis, and Knowledge Organization,
Herausgeber*innen	Berthold Lausen, Dirk Van den Poel, Alfred Ultsch
Erscheinungsort	Wien
Verlag	Springer
Seiten	243 - 250
Publikationsstatus	Veröffentlicht - 1 Okt. 2013

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Andere Dateien und Links

http://www.springerprofessional.de/024---determining-the-similarity-between-us-cities-using-a-gravity-model-for-search-engine-query-data/4647580.html

Zitat

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

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Sammelwerk

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AU - Grün, Bettina

AU - Hornik, Kurt

AU - Mair, Patrick

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AB - 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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