@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},
	}