Scaling laws in geo-located Twitter data

Scaling laws in geo-located Twitter data

We observe and report on a systematic relationship between population density and Twitter use. Number of tweets, number of users and population per unit area are related by power laws, with exponents greater than one, that are consistent with each other and across a range of spatial scales. This implies that population density can accurately predict Twitter activity. Furthermore this trend can ...

Geo-located Twitter as the proxy for global mobility patterns

In the advent of a pervasive presence of location sharing services researchers gained an unprecedented access to the direct records of human activity in space and time. This paper analyses geo-located Twitter messages in order to uncover global patterns of human mobility. Based on a dataset of almost a billion tweets recorded in 2012 we estimate volumes of international travelers in respect to ...

Geo-located Twitter as proxy for global mobility patterns

Pervasive presence of location-sharing services made it possible for researchers to gain an unprecedented access to the direct records of human activity in space and time. This article analyses geo-located Twitter messages in order to uncover global patterns of human mobility. Based on a dataset of almost a billion tweets recorded in 2012, we estimate the volume of international travelers by co...

Scaling in stock market data : stable laws

User profiling with geo-located posts and demographic data

This paper presents a novel method for user profiling in social media that makes use of geo-location information associated with social media posts to avoid the need for selfreported data. These posts are combined with two publicly available sources of demographic information to automatically create data sets in which posts are labelled with socio-economic status. The data sets are linked by id...