TY - GEN
T1 - Video sharing in online social networks
T2 - 22nd ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2012
AU - Li, Haitao
AU - Wang, Haiyang
AU - Liu, Jiangchuan
AU - Xu, Ke
PY - 2012
Y1 - 2012
N2 - Online social networks (OSNs) have become popular destinations for connecting friends and sharing information. Recent statistics suggest that OSN users regularly share contents from video sites, and a significant amount of requests of the video sites are indeed from them nowadays. These behaviors have substantially changed the workload of online video services. To better understand this paradigm shift, we conduct a long-term and extensive measurement of video sharing in RenRen, the largest Facebook-like OSN in China. In this paper, we focus on the video popularity distribution and evolution. In particular, we find that the video popularity distribution exhibits perfect power-law feature (while videos in YouTube exhibit a power-law waist with a long truncated tail). Moreover, we observe that the requests for the new published videos generally experience two or three days latency to reach the peak value, and then change dynamically with a series of unpredictable bursts (while in YouTube, videos reach the global peak immediately after introduction to the system, and then the accesses generally decrease overtime, except possibly on some special days). These differences can raise new challenges to content providers. For example, the video popularity is now hard to predict based on their historical requests. We further develop a simple yet effective model to simulate user requests process across videos in OSNs. Trace-based simulation shows that it can well capture the observed features.
AB - Online social networks (OSNs) have become popular destinations for connecting friends and sharing information. Recent statistics suggest that OSN users regularly share contents from video sites, and a significant amount of requests of the video sites are indeed from them nowadays. These behaviors have substantially changed the workload of online video services. To better understand this paradigm shift, we conduct a long-term and extensive measurement of video sharing in RenRen, the largest Facebook-like OSN in China. In this paper, we focus on the video popularity distribution and evolution. In particular, we find that the video popularity distribution exhibits perfect power-law feature (while videos in YouTube exhibit a power-law waist with a long truncated tail). Moreover, we observe that the requests for the new published videos generally experience two or three days latency to reach the peak value, and then change dynamically with a series of unpredictable bursts (while in YouTube, videos reach the global peak immediately after introduction to the system, and then the accesses generally decrease overtime, except possibly on some special days). These differences can raise new challenges to content providers. For example, the video popularity is now hard to predict based on their historical requests. We further develop a simple yet effective model to simulate user requests process across videos in OSNs. Trace-based simulation shows that it can well capture the observed features.
KW - popularity distribution
KW - popularity evolution
KW - power-law
KW - social network
KW - video sharing
UR - http://www.scopus.com/inward/record.url?scp=84879832870&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84879832870&partnerID=8YFLogxK
U2 - 10.1145/2229087.2229110
DO - 10.1145/2229087.2229110
M3 - Conference contribution
AN - SCOPUS:84879832870
SN - 9781450314305
T3 - Proceedings of the International Workshop on Network and Operating System Support for Digital Audio and Video
SP - 83
EP - 88
BT - NOSSDAV 2012 - Proceedings of the ACM Workshop on Network and Operating System Support for Digital Audio and Video
Y2 - 7 June 2012 through 8 June 2012
ER -