The Evolution of Natural Cities from the Perspective of Location-Based Social Media

Literature Cited

• Bak, P. 1996. How nature works: The science of self-organized criticality. New York: Springer-Verlag.
   Google Scholar
• Batty, M., and P. Longley. 1994. Fractal cities: A geometry of form and function. London: Academic Press.
   Google Scholar
• Benguigui, L., and E. Blumenfeld-Leiberthal. 2011. The end of a paradigm: Is Zipf's law universal? Journal of Geographical Systems 13:87–100.
   Web of Science ®Google Scholar
• Bennett, J. 2010. OpenStreetMap: Be your own cartographer. Birmingham, UK: PCKT Publishing.
   Google Scholar
• Berry, B.J. L., and A. Okulicz-Kozaryn. 2011. The city size distribution debate: Resolution for US urban regions and megalopolitan areas. Cities 29:S17–S23.
   Web of Science ®Google Scholar
• Boyd, D.M., and N.B. Ellison. 2008. Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication 13:210–30.
   Web of Science ®Google Scholar
• Brockmann, D., L. Hufnage, and T. Geisel. 2006. The scaling laws of human travel. Nature 439:462–65.
   PubMed Web of Science ®Google Scholar
• Chen, Y. 2009. Spatial interaction creates period-doubling bifurcation and chaos of urbanization. Chaos, Solitons & Fractals 42 (3): 1316–25.
   Web of Science ®Google Scholar
• Cho, E., S.A. Myers, and J. Leskovec. 2011. Friendship and mobility: User movement in location-based social networks. In Proceedings of the 17th ACM SIGKDD international conference on knowledge discovery and data mining, ed. C. Apté, J. Ghosh, and P. Smyth, 1082–90. New York: ACM.
   Google Scholar
• Frankhauser, P. 1994. La fractalité des structures urbaines [Fractality of urban structures]. Paris: Economica.
   Google Scholar
• Goodchild, M.F. 2007. Citizens as sensors: The world of volunteered geography. GeoJournal 69 (4): 211–21.
   Google Scholar
• Hey, T., S. Tansley, and K. Tolle. 2009. The fourth paradigm: Data intensive scientific discovery. Redmond, WA: Microsoft Research.
   Google Scholar
• Jia, T., and B. Jiang. 2010. Measuring urban sprawl based on massive street nodes and the novel concept of natural cities. http: //arxiv.org/abs/1010.0541 (last accessed 10 July 2014).
   Google Scholar
• Jiang, B. 2013. Head/tail breaks: A new classification scheme for data with a heavy-tailed distribution. The Professional Geographer 65 (3): 482–94.
   Web of Science ®Google Scholar
• ———. 2014. Geospatial analysis requires a different way of thinking: The problem of spatial heterogeneity. GeoJournal. doi:10.1007/s10708-014-9537-y
   Google Scholar
• Jiang, B., and T. Jia. 2011. Zipf's law for all the natural cities in the United States: A geospatial perspective. International Journal of Geographical Information Science 25 (8): 1269–81.
   Web of Science ®Google Scholar
• Jiang, B., and X. Liu. 2012. Scaling of geographic space from the perspective of city and field blocks and using volunteered geographic information. International Journal of Geographical Information Science 26 (2): 215–29.
   Web of Science ®Google Scholar
• Jiang, B., and J. Yin. 2014. Ht-index for quantifying the fractal or scaling structure of geographic features. Annals of the Association of American Geographers 104 (3): 530–40.
   Web of Science ®Google Scholar
• Johnson, S. 2002. Emergence: The connected lives of ants, brains, cities, and software. New York: Scribner.
   Google Scholar
• Kaplan, A.M., and M. Haenlein. 2010. Users of the world, unite! The challenges and opportunities of social media. Business Horizons 53:59–68.
   Web of Science ®Google Scholar
• Lazer, D., A. Pentland, L. Adamic, A. Aral, A.-L. Barabási, D. Brewer, N. Christakis, et al. (2009). Computation social science. Science 323:721–24.
   PubMed Web of Science ®Google Scholar
• Mandelbrot, B. 1982. The fractal geometry of nature. New York: Freeman.
   Google Scholar
• Mayer-Schonberger, V., and K. Cukier. 2013. Big data: A revolution that will transform how we live, work, and think. New York: Eamon Dolan/Houghton Mifflin Harcourt.
   Google Scholar
• Openshaw, S. 1984. The modifiable areal unit problem. Norwich, UK: GeoBooks.
   Google Scholar
• ———. 1998. Towards a more computationally minded scientific human geography. Environment and Planning A 30:317–32.
   Web of Science ®Google Scholar
• Phillips, J.D. 2003. Sources of nonlinearity and complexity in geomorphic systems. Progress in Physical Geography 27 (1): 1–23.
   Web of Science ®Google Scholar
• Sui, D., and M. Goodchild. 2011. The convergence of GIS and social media: Challenges for GIScience. International Journal of Geographical Information Science 25 (11): 1737–48.
   Web of Science ®Google Scholar
• Surowiecki, J. 2004. The wisdom of crowds: Why the many are smarter than the few. London: ABACUS.
   Google Scholar
• Traynor, D., and K. Curran. 2012. Location-based social networks. In Mobile services industries, technologies, and applications in the global economy, ed. I. Lee, 243–53. Hershey, PA: IGI Global.
   Google Scholar
• Zheng, Y., and X. Zhou, eds. 2011. Computing with spatial trajectories. Berlin: Springer.
   Google Scholar
• Zipf, G.K. 1949. Human behavior and the principles of least effort. Cambridge, MA: Addison Wesley.
   Google Scholar