Acta Physica Sinica, Volume. 69, Issue 8, 088908-1(2020)

Live streaming: Data mining and behavior analysis

Shu-Hui Guo and Xin Lu*
Author Affiliations
  • College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
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    Figures & Tables(4)
    The diurnal effects of domestic and foreign live streaming workloads[30,32].
    The graph of live streaming channel’s state dyna-mics[42].
    • Table 1.

      The workload changes of different live streaming platforms.

      不同直播平台的负载时序特征

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      Table 1.

      The workload changes of different live streaming platforms.

      不同直播平台的负载时序特征

      直播平台年份日内效应周内效应
      Anonymous[11]20023, 19时观众数量最多双休日观众数量更多
      Twitch[30]201517, 0时直播间最多双休日直播间数量显著增多
      YouNow[35]2015直播间和观众最多: 22时双休日直播间和观众数量更多
      斗鱼[32]2016直播间和观众最多: 21—22时
      斗鱼[33]2018直播间最多: 20—21时, 观众最多: 23—24时双休日直播间和观众数量更多
    • Table 2.

      Median live streaming duration of each live streaming platform.

      各个网络直播平台的直播时长中位数

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      Table 2.

      Median live streaming duration of each live streaming platform.

      各个网络直播平台的直播时长中位数

      文献直播平台采集年份中位数
      [35] YouNow201516 min
      [42] Twitch(StarCraftII的 较大型直播间) 2013—20143.7 h
      [30] Twitch(点播的视频)20158 min
      [49] Twitch2014150 min
      [28] Twitch2011—201295 min
      [32] 斗鱼201690 min
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    Shu-Hui Guo, Xin Lu. Live streaming: Data mining and behavior analysis[J]. Acta Physica Sinica, 2020, 69(8): 088908-1

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    Paper Information

    Received: Nov. 22, 2019

    Accepted: --

    Published Online: Nov. 24, 2020

    The Author Email:

    DOI:10.7498/aps.69.20191776

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