Characterizing popularity dynamics of online videos

被引：15

作者：

Ren, Zhuo-Ming ^{[1
]}

Shi, Yu-Qiang ^{[2
]}

Liao, Hao ^{[1
,3
]}

机构：

[1] Univ Fribourg, Dept Phys, Chemin Musee 3, CH-1700 Fribourg, Switzerland

[2] Southwest Univ Sci & Technol, Sch Mfg Sci & Engn, Mianyang 621010, Peoples R China

[3] Shenzhen Univ, Coll Comp Sci & Software Engn, Guangdong Prov Key Lab Popular High Performance C, Shenzhen 518060, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2016年 / 453卷

基金：

瑞士国家科学基金会;

关键词：

Popularity dynamic; Online video; Burst behavior; MODEL;

D O I：

10.1016/j.physa.2016.02.019

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Online popularity has a major impact on videos, music, news and other contexts in online systems. Characterizing online popularity dynamics is nature to explain the observed properties in terms of the already acquired popularity of each individual. In this paper, we provide a quantitative, large scale, temporal analysis of the popularity dynamics in two online video-provided websites, namely MovieLens and Netflix. The two collected data sets contain over 100 million records and even span a decade. We characterize that the popularity dynamics of online videos evolve over time, and find that the dynamics of the online video popularity can be characterized by the burst behaviors, typically occurring in the early life span of a video, and later restricting to the classic preferential popularity increase mechanism. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：236 / 241

页数：6

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