Open Access
Issue
ITM Web Conf.
Volume 7, 2016
3rd Annual International Conference on Information Technology and Applications (ITA 2016)
Article Number 04002
Number of page(s) 3
Section Session 4: Information System and its Applications
DOI https://doi.org/10.1051/itmconf/20160704002
Published online 21 November 2016
  1. Barabási A L. The origin of bursts and heavy tails in human dynamics[J]. Nature, 2005,435(7039): 207–211 [CrossRef] [PubMed]
  2. Brockmann Dirk, Lars Hufnagel, Theo Geisel. The scaling laws of human travel[J]. Nature, 2006, 439(7075): 462–465. [CrossRef] [PubMed]
  3. Lu Xin, Linus Bengtsson, Petter Holme. Predictability of population displacement after the 2010 Haiti earthquake [J]. Proceedings of the National Academy of Sciences, 2012, 109(29): 11576–11581. [CrossRef]
  4. Pickard, Galen, et al. “Time-critical social mobilization.” Science, 2011, 334(6055):509–512. [CrossRef] [PubMed]
  5. Zhao Kun, Juliette Stehlé, Ginestra Bianconi, Alain Barrat. Social network dynamics of face-to-face interactions [J]. Physical Review E, 2011, 83: 056109. [CrossRef]
  6. Wang Sun-Chong, Tseng Jie-Jun, Tai Chung-Ching, Lai Ke-Hung, Wu Wei-Shao, Chen Shu-Heng. Network topology of an experimental futures exchange [J]. The European Physical Journal B, 2008, 62(1): 105–111. [CrossRef] [EDP Sciences]
  7. Vespignani, Alessandro. Predicting the behavior of techno-social systems [J]. Science, 2009, 325(5939): 425–428. [CrossRef] [MathSciNet] [PubMed]
  8. Guillemin, Fabrice, Thierry Houdoin, Stephanie Moteau. Volatility of YouTube content in Orange networks and consequences [C]. In Communications (ICC), 2013 IEEE International Conference on, pp. 2381-2385. IEEE, 2013. [CrossRef]
  9. Leskovec Jure, Horvitz. Eric Planetary-scale views on a large instant-messaging network [C]. In Proceedings of the 17th international conference on World Wide Web, pp. 915-924. ACM, 2008.
  10. Chun Hyunwoo, Kwak Haewoon, Eom Young-Ho, Ahn Yong-Yeol, Moon Sue, Jeong Hawoong. Comparison of online social relations in volume vs interaction: a case study of cyworld [C]. In Proceedings of the 8th ACM SIGCOMM conference on Internet measurement, pp. 57-70. ACM, 2008. [CrossRef]
  11. HONG Wei, HAN Xiao-Pu, ZHOU Tao, WANG Bing-Hong. Heavy-tailed statistics in short-message communication[J]. Chinese Physics Letters, 2009, 2009(2):297–299.
  12. Mahanti. A, Carlsson. N, Arlitt. M, Williamson. C. A tale of the tails: Power-laws in Internet measurements [J]. Network, 2013, 27(1): 59–64.
  13. Forecast C V N I. Cisco Visual Networking Index: Global Mobile data Traffic Forecast Update 2009-2014[J]. Cisco Public Information, February, 2010, 9.
  14. Ingrid Lunden. Mobile Data Traffic To Grow 300% Globally By 2017 Led By Video, Web Use, Says Strategy Analytics. http://techcrunch.com/2013/07/03/mobile-data-use-to-grow-300-globally-by-2017-led-by-video-web-traffic-sa ys-strategy-analytics/

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