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/KonferenzbandBeitrag in Sammelwerk


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).
Titel des SammelwerksAlgorithms from and for Nature and Life - Studies in Classification, Data Analysis, and Knowledge Organization,
Herausgeber*innen Berthold Lausen, Dirk Van den Poel, Alfred Ultsch
Seiten243 - 250
PublikationsstatusVeröffentlicht - 1 Okt. 2013