The Frontiers of Society, Science and Technology, 2020, 2(3); doi: 10.25236/FSST.2020.020320.
Yu Ying1, 2, Zhou Xue1, 2, Yang Tingting1, 2, Liu Xiaofei1, 2
1. University of Sanya, 572022, China
2. Chen Guoliang Academician Workstation of University of Sanya, 572022, China
People often make travel plans through various network platforms. Based on the data collected on the network, this paper studies the law of interactive time distribution according to the time distribution of interactions on social networks, and verifies it.
Travel; Interactive time distribution; Social networks
Yu Ying, Zhou Xue, Yang Tingting, Liu Xiaofei. Integrating into Urban Agglomeration and Building Bay Area Economy: a Study on the Development of Great Bay Area Urban Agglomeration in Guangdong, Hong Kong and Macao. The Frontiers of Society, Science and Technology (2020) Vol. 2 Issue 3: 73-77. https://doi.org/10.25236/FSST.2020.020320.
[1] (2019). The 44th China statistical report on internet development. China Internet Network Information Center.
[2] Chang M C, Peng C K, Stanley H E (2014). Emergence of dynamical complexity related to human heart rate variability. Physical Review E, vol.90, no.6, pp.203-255.
[3] Zhou J, Liu Z, Li B (1999). Influence of network structure on rumor propagation. science, vol. 286, pp.509-512.
[4] Abbasbandy s, kazem s, alhuthalims, et al (2015). Application of the operational matrix of fractional-order Legendre functions for solving the time-fractional convection-diffusion equation. Applied Mathematics and Computation, vo.l.266, no.2, pp.1-40.
[5] Huo Liangan (2012). Research on the dissemination of false information after an emergency. Shanghai Jiao Tong University.