@phdthesis{oai:kitakyu.repo.nii.ac.jp:00000664,
 author = {ユユン},
 month = {2018-12-12},
 note = {This study aims to investigate the possibilities of using Twitter social media data as a source of knowledge for urban planning application. The author analyses 211,922 check-ins on Twitter. The dataset was utilized to analyses people's movement by comparing the population on Twitter with the real urban population. Three data sources used: check-ins, population census, and questionnaire data. Secondly, with a mapping approach was used to study the dynamic urban land-use pattern by combining check-in features and individual text-posting activities. Thirdly, using a grid based on an aggregation method to analyze the city center's location. Fourth, quantified the mobility of urban inhabitants by examining individuals' movement patterns and calculated how far people travel in the city. Lastly, analyzed the social media users in the public spaces and public facilities. The thesis concludes that location based social media has great potential for helping understand the shape and structure of a city.},
 school = {北九州市立大学},
 title = {Human Mobility of Social Network Users in an Urban Area: Case Study in Makassar City, Indonesia},
 year = {}
}