Unveiling the patterns of video tweeting: A sina weibo-based measurement study

15Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Sina Weibo is the most popular Twitter-like microblog service in China. Contents, such as texts, pictures, music, videos, are propagated rapidly by tweeting and retweeting among users. In this paper, we conduct a measurement study on the patterns of video tweeting over the Sina Weibo system. We build a customized measurement platform to collect a huge amount of data (e.g., video tweets, user/video information, etc) from 1 million Weibo users on the Sina Weibo system. Our measurements enable us to understand the sources and characteristics of tweeted videos, geographical distribution of viewers, distribution of viewing devices, popularity dynamics of tweeted videos, etc. We observe frequent flash crowds occur for popular tweeted videos due to social tweeting. We also analyze how social links among Weibo users impact video tweeting and it is found that the majority of viewers are within 3 hops from the original tweet publisher. Finally, we discuss potential implications of our measurement results on the design of future social video distribution infrastructures. © 2013 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Guo, Z., Huang, J., He, J., Hei, X., & Wu, D. (2013). Unveiling the patterns of video tweeting: A sina weibo-based measurement study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7799 LNCS, pp. 166–175). Springer Verlag. https://doi.org/10.1007/978-3-642-36516-4_17

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free