@article{(Open Science Index):https://publications.waset.org/pdf/10009070, title = {Quantifying Mobility of Urban Inhabitant Based on Social Media Data}, author = {Yuyun and Fritz Akhmad Nuzir and Bart Julien Dewancker}, country = {}, institution = {}, abstract = {Check-in locations on social media provide information about an individual’s location. The millions of units of data generated from these sites provide knowledge for human activity. In this research, we used a geolocation service and users’ texts posted on Twitter social media to analyze human mobility. Our research will answer the questions; what are the movement patterns of a citizen? And, how far do people travel in the city? We explore the people trajectory of 201,118 check-ins and 22,318 users over a period of one month in Makassar city, Indonesia. To accommodate individual mobility, the authors only analyze the users with check-in activity greater than 30 times. We used sampling method with a systematic sampling approach to assign the research sample. The study found that the individual movement shows a high degree of regularity and intensity in certain places. The other finding found that the average distance an urban inhabitant can travel per day is as far as 9.6 km. }, journal = {International Journal of Information and Communication Engineering}, volume = {12}, number = {6}, year = {2018}, pages = {401 - 405}, ee = {https://publications.waset.org/pdf/10009070}, url = {https://publications.waset.org/vol/138}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 138, 2018}, }