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    Journals >Acta Physica Sinica >Volume 69 >Issue 8 >Page 088908-1 > Article
    • Acta Physica Sinica
    • Vol. 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
    • show less
    DOI: 10.7498/aps.69.20191776 Cite this Article
    Shu-Hui Guo, Xin Lu. Live streaming: Data mining and behavior analysis[J]. Acta Physica Sinica, 2020, 69(8): 088908-1 Copy Citation Text show less
    The diurnal effects of domestic and foreign live streaming workloads[30,32].
    Fig. 1. The diurnal effects of domestic and foreign live streaming workloads[30,32].
    Download full size | View in the Article
    The graph of live streaming channel’s state dyna-mics[42].
    Fig. 2. The graph of live streaming channel’s state dyna-mics[42].
    Download full size | View in the Article
    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 1.

    The workload changes of different live streaming platforms.

    不同直播平台的负载时序特征

    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
    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

    Abstract
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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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