Advanced independent cascade model for YouTube content propagation in Facebook

Author

Soysa, Dinuka A. ; Au, Oscar C. ; Lin Sun ; Lingfeng Xu ; Jiali Li ; Chen, Denis Guangyin

Author_Institution

Hong Kong Univ. of Sci. & Technol., Hong Kong, China

fYear

2013

fDate

6-10 July 2013

Firstpage

481

Lastpage

485

Abstract

Multimedia streaming service providers such as YouTube often need to design caching strategy based on predicted future media content propagation pattern. It is commonly observed that social network behavior tends to have great correlation with the content propagation pattern. In this paper, we propose an Advanced Independent Cascade Model (AICM) which is an extension of the existing ICM method to predict the future propagation pattern of multimedia (YouTube) content based on scraped social network (Facebook) user profiles in terms of their “talkativeness” and “influential power”. Simulation results suggest that the proposed AICM is reasonable and consistent.

Keywords

cache storage; media streaming; social networking (online); Facebook; ICM method; YouTube content propagation; advanced independent cascade model; caching strategy; media content propagation pattern; multimedia streaming service providers; scraped social network user profiles; social network behavior; Facebook; Media; Multimedia communication; Predictive models; Servers; YouTube;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on

Conference_Location

Beijing

Type

conf

DOI

10.1109/ChinaSIP.2013.6625386

Filename

6625386