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Abstract

With the rapid development of mobile communication and Internet technologies, online live streaming has gradually become popular for information communication and entertainment in the new media environment. Live streaming has been widely used in teaching, reality show, E-sports games and events, brand marketing and other aspects. With the active participation of millions of streamers and hundreds of millions of viewers, massive online crowd behavior activity data are generated, which offers rich experimental scenarios for large-scale crowd behavior dynamics research, live streaming channel recommendation and online community evolution. In this paper, we summarize the relevant research literature of live streaming, and review current studies from a comprehensive list of aspects: workload pattern, viewers and streamers behavior, community network discovery and analysis, etc. We summarize the temporal and spatial patterns of live streaming platform workload, heavy tailed effect of large-scale crowd behavior in live streaming platform, etc. We believe that the future work on live streaming can be directed in the examination of formation and evolution mechanism of various community networks formed by large-scale users, as well as the recommendation and detection of live streaming content.

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Authors and contacts

Guo Shu-Hui,
Lu Xin

Corresponding author:Lu Xin,xin.lu@flowminder.org

Funds:the National Natural Science Foundation of China (Grant Nos. 82041020, 71771213, 91846301, 71790615) and the Science and Technology Program of Hunan Province, China (Grant Nos. 2017RS3040, 2018JJ1034)

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[12]
[13]
[14]
[15]
[16]
[17]
[18]
[19]
[20]
[21]
[22]
[23]
[24]
[25]
[26]
[27]
[28]
[29]
[30]
[31]
[32]
[33]
[34]
[35]
[36]
[37]
[38]
[39]
[40]
[41]
[42]
[43]
[44]
[45]
[46]
[47]
[48]
[49]
[50]
[51]
[52]
[53]
[54]
[55]
[56]
[57]
[58]
[59]
[60]

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直播平台	年份	日内效应	周内效应
Anonymous^[11]	2002	3, 19时观众数量最多	双休日观众数量更多
Twitch^[30]	2015	17, 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

DownLoad: CSV

文献	直播平台	采集年份	中位数
[35]	YouNow	2015	16 min
[42]	Twitch(StarCraftII的较大型直播间)	2013—2014	3.7 h
[30]	Twitch(点播的视频)	2015	8 min
[49]	Twitch	2014	150 min
[28]	Twitch	2011—2012	95 min
[32]	斗鱼	2016	90 min

DownLoad: CSV

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[14]
[15]
[16]
[17]
[18]
[19]
[20]
[21]
[22]
[23]
[24]
[25]
[26]
[27]
[28]
[29]
[30]
[31]
[32]
[33]
[34]
[35]
[36]
[37]
[38]
[39]
[40]
[41]
[42]
[43]
[44]
[45]
[46]
[47]
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[49]
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Vol. 69, Issue 8 - 2020-04-20

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