Metrics in Sharing Video Relationship-Networks  

作　　者：GAO Wen QIAN Yaguan WU Chunming 

机构地区：[1]College of Computer Science & Technology,Zhejiang University [2]College of Science,Zhejiang University of Science and Technology

出　　处：《Chinese Journal of Electronics》2014年第3期598-603,共6页电子学报（英文版）

基　　金：supported by the National Basic Research Program of China(973 Program)(No.2012CB315903);the Key Science and Technology Innovation Team Project of Zhejiang Province(No.2011R50010);863 Program of China(No.2012AA01A507);the National Natural Science Foundation of China(No.61379118);the Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis(No.2012E10023-14)

摘　　要：At present the video sharing service has gradually became one of the Internet killer applications. It is crucial to the service providers that understand the intrinsic nature of Sharing video relationshlp-networks （SVRNs） formed by video related list. This paper investigates the relationships between sharing videos using complex networks theory. New metrics are introduced to model and characterize the SVRN from topological view. Through extensive study on YouTub% a set of key findings are revealed. The results show that the node in- degree of SVRNs follows the power-law distribution and its entropy remains stable over time. The topology also exhibits an assortative property and obvious clustering phenomenon. But the rich-club phenomenon is not evident compared with the Internet AS-level topology. This research will enable the service providers to optimally plan and operate their video-based services.At present the video sharing service has gradually became one of the Internet killer applications. It is crucial to the service providers that understand the intrinsic nature of Sharing video relationship-networks(SVRNs) formed by video related list. This paper investigates the relationships between sharing videos using complex networks theory. New metrics are introduced to model and characterize the SVRN from topological view. Through extensive study on You Tube, a set of key findings are revealed. The results show that the node indegree of SVRNs follows the power-law distribution and its entropy remains stable over time. The topology also exhibits an assortative property and obvious clustering phenomenon. But the rich-club phenomenon is not evident compared with the Internet AS-level topology. This research will enable the service providers to optimally plan and operate their video-based services.

关 键 词：Video sharing services  Video relationship-networks Topological characteristics  Complex networks 

分 类 号：O157.5[理学—数学]