The information flow data are generated from user-generated data of Funda.nl, the largest online housing market platform of the Netherlands. The datasets contain the inflow and outflow of hits (mouse clicks, opening of webpages, etc.) from one municipality to another, where the municipality of the user defines the origin and the municipality of the property that is viewed defines the destination. The data capture real behavior of the platform users. The flow data are based on 1.1 billion hits that are made by the users of the website in the first six months of 2018. The underlying data are collected by Google Analytics, Google's web analytics service. Funda uses these data for statistics to gain insights in the platform's usage, to maintain...
Web-scraping and data mining algorithms are used extensively by hedge funds, equities traders, digit...
In the pre-internet era, information was a key determinant of the geographic nature of intra-urban m...
The property market is slow to innovate and adopt change resulting in inconvenience to all parties ...
This data article describes user-generated data of Funda.nl, the largest online housing market websi...
The importance of search behaviour has long been recognised in the study of housing markets, but res...
In this paper we apply a gravity framework to user-generated data of a large online housing market p...
A recently emerged sustainable information society has ceased to be only a consumer and has become a...
In this paper we apply a gravity framework to user-generated data of a large housing market platform...
To date, there are no clear insights in the spatial patterns and micro-dynamics of the housing marke...
In this paper we apply a gravity framework to user-generated data of a large online housing market p...
This study aims to provide insights into the correct usage of Google search data, which are availabl...
We employ detailed internet search data to examine price and liquidity dynamics of the Dutch housing...
Search engines make information about places available to billions of users, who explore geographic ...
Regional museums are relatively recent museum structures that emerged in the late 19th century after...
Purpose – The purpose of this paper is to examine internet search query data provided by “Google Tre...
Web-scraping and data mining algorithms are used extensively by hedge funds, equities traders, digit...
In the pre-internet era, information was a key determinant of the geographic nature of intra-urban m...
The property market is slow to innovate and adopt change resulting in inconvenience to all parties ...
This data article describes user-generated data of Funda.nl, the largest online housing market websi...
The importance of search behaviour has long been recognised in the study of housing markets, but res...
In this paper we apply a gravity framework to user-generated data of a large online housing market p...
A recently emerged sustainable information society has ceased to be only a consumer and has become a...
In this paper we apply a gravity framework to user-generated data of a large housing market platform...
To date, there are no clear insights in the spatial patterns and micro-dynamics of the housing marke...
In this paper we apply a gravity framework to user-generated data of a large online housing market p...
This study aims to provide insights into the correct usage of Google search data, which are availabl...
We employ detailed internet search data to examine price and liquidity dynamics of the Dutch housing...
Search engines make information about places available to billions of users, who explore geographic ...
Regional museums are relatively recent museum structures that emerged in the late 19th century after...
Purpose – The purpose of this paper is to examine internet search query data provided by “Google Tre...
Web-scraping and data mining algorithms are used extensively by hedge funds, equities traders, digit...
In the pre-internet era, information was a key determinant of the geographic nature of intra-urban m...
The property market is slow to innovate and adopt change resulting in inconvenience to all parties ...