Human Mobility

Wang Cheng-Jun edited this page Dec 19, 2016 · 1 revision

计算传播学是计算社会科学的重要分支。它主要关注人类传播行为的可计算性基础,以传播网络分析、传播文本挖掘、数据科学等为主要分析工具,(以非介入地方式)大规模地收集并分析人类传播行为数据,挖掘人类传播行为背后的模式和法则,分析模式背后的生成机制与基本原理,可以被广泛地应用于数据新闻和计算广告等场景,注重编程训练、数学建模、可计算思维。

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Distinct locations

The number of distinct locations S(t ) visited by a randomly moving object is expected to follow <math>S(t) \sim t^\mu</math>.

参见OWS tweets

  1. Larralde, H., Trunfio, P., Havlin, S., Stanley, H. E. & Weiss, G. H. Territory covered by N diffusing particles. Nature 355, 423–426 (1992).
  2. Larralde, H., Trunfio, P., Havlin, S., Stanley, H. E. & Weiss, G. H. Number of distinct sites visited by N random walkers. Phys. Rev. A 45, 7128–7138 (1992).
  3. Yuste, S. B., Klafter, J. & Lindenberg, K. Number of distinct sites visited by a subdiffusive random walker. Phys. Rev. E 77, 032101 (2008).

Preferential Return Models

Song 2010 Modelling the scaling properties of human mobility nphys1760[1]

Lai and Huang 2014 Scaling and correlation of human movements in cyberspace and physical spacePhysRevE.90.050802[2]

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References

  • Song 2010 Modelling the scaling properties of human mobility nphys1760
  • Lai and Huang 2014 Scaling and correlation of human movements in cyberspace and physical spacePhysRevE.90.050802