Abstract
Understanding the effects of social cascading on streaming media is of great importance to Web information system engineering. Given the large amount of available videos, it is often difficult for users to discover interesting content. Relying on the suggestions coming from friends seems to be a popular way to choose what to watch. Taking into account the increasing popularity of Online Social Networks and the growing popularity of streaming media, in this paper we present a detailed analysis of social cascading exchange of YouTube videos among Twitter users. Using a real data set we have recently collected, our analysis highlights several important aspects of social cascading, including its impact on YouTube videos popularity, dependence on users with a large number of followers, the effect of multiple sharing follows and the distribution of cascade duration.
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References
Abhari, A., Soraya, M.: Workload generation for youtube. Multimedia Tools Appl. 46(1), 91–118 (2010)
Backstrom, L., Sun, E., Marlow, C.: Find me if you can: improving geographical prediction with social and spatial proximity. In: Proceedings of the 19th International Conference on World Wide Web (WWW 2010), pp. 61–70. ACM, New York (2010)
Bakshy, E., Hofman, J.M., Mason, W.A., Watts, D.J.: Everyone’s an influencer: quantifying influence on twitter. In: Proceedings of the 4th ACM International Conference on Web Search and Data Mining (WSDM 2011), pp. 65–74. ACM, New York (2011)
Bakshy, E., Rosenn, I., Marlow, C., Adamic, L.: The role of social networks in information diffusion. In: Proceedings of the 21st International Conference on World Wide Web (WWW 2012), pp. 519–528. ACM, New York (2012)
Borghol, Y., Mitra, S., Ardon, S., Carlsson, N., Eager, D., Mahanti, A.: Characterizing and modelling popularity of user-generated videos. Perform. Eval. 68(11), 1037–1055 (2011)
Brodersen, A., Scellato, S., Wattenhofer, M.: Youtube around the world: geographic popularity of videos. In: Proceedings of the 21st International Conference on World Wide Web (WWW 2012), pp. 241–250. ACM, New York (2012)
Cha, M., Kwak, H., Rodriguez, P., Ahn, Y., Moon, S.: I tube, you tube, everybody tubes: analyzing the world’s largest user generated content video system. In: Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement (IMC 2007), San Diego, California, USA, pp. 1–14. ACM (2007)
Cha, M., Mislove, A., Adams, B., Gummadi, K.: Characterizing social cascades in flickr. In: Proceedings of the First Workshop on Online Social Networks (WOSN 2008), Seattle, WA, USA, pp. 13–18 (2008)
Cheng, X., Dale, C., Liu, J.: In: Proceedings of the 16th International Workshop on Quality of Service (IWQOS 2008), Enskede, The Netherlands, pp. 229–238. IEEE (2008)
Datta, A., Dikaiakos, M.D., Haridi, S., Iftode, L.: Infrastructures for online social networking services. IEEE Internet Computing 16, 10–12 (2012)
Figueiredo, F., Benevenuto, F., Almeida, J.M.: The tube over time: characterizing popularity growth of youtube videos. In: Proceedings of the 4th ACM International Conference on Web Search and Data Mining (WSDM 2011), pp. 745–754. ACM, New York (2011)
Finamore, A., Mellia, M., Munafò, M.M., Torres, R., Rao, S.G.: Youtube everywhere: impact of device and infrastructure synergies on user experience. In: Proceedings of the 2011 ACM SIGCOMM Conference on Internet Measurement Conference (IMC 2011), pp. 345–360. ACM, New York (2011)
Gill, P., Arlitt, M., Li, Z., Mahanti, A.: Youtube traffic characterization: a view from the edge. In: Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement (IMC 2007), San Diego, California, USA, pp. 15–28. ACM (2007)
Gill, P., Arlitt, M., Li, Z., Mahanti, A.: Characterizing user sessions on youtube. In: Proceedings of the ACM/SPIE Multimedia Computing and Networking Conference (MMCN 2008), San Jose, USA (2008)
Goel, S., Hofman, J.M., Sirer, M.I.: Who does what on the web: A large-scale study of browsing behavior. In: Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (June 2012)
Kwak, H., Lee, C., Park, H., Moon, S.: What is Twitter, a social network or a news media? In: Proceedings of the 19th International Conference on World Wide Web (WWW 2011), pp. 591–600. ACM, New York (2010)
Mitra, S., Agrawal, M., Yadav, A., Carlsson, N., Eager, D., Mahanti, A.: Characterizing web-based video sharing workloads. ACM Trans. Web 5(2), 8:1–8:27 (2011)
Rao, A., Legout, A., Lim, Y.-S., Towsley, D., Barakat, C., Dabbous, W.: Network characteristics of video streaming traffic. In: Proceedings of the 7th Conference on Emerging Networking Experiments and Technologies (CoNEXT 2011), pp. 25:1–25:12. ACM, New York (2011)
Rodrigues, T., Benevenuto, F., Cha, M., Gummadi, K., Almeida, V.: On word-of-mouth based discovery of the web. In: Proceedings of the 2011 ACM SIGCOMM Conference on Internet Measurement Conference (IMC 2011), pp. 381–396. ACM, New York (2011)
Romero, D.M., Galuba, W., Asur, S., Huberman, B.A.: Influence and passivity in social media. In: Proceedings of the 20th International Conference on World Wide Web (WWW 2011), pp. 113–114. ACM, New York (2011)
Scellato, S., Mascolo, C., Musolesi, M., Crowcroft, J.: Track globally, deliver locally: improving content delivery networks by tracking geographic social cascades. In: Proceedings of the 20th International Conference on World Wide Web (WWW 2011), pp. 457–466. ACM, New York (2011)
Tang, W., Fu, Y., Cherkasova, L., Vahdat, A.: Medisyn: a synthetic streaming media service workload generator. In: Proceedings of the 13th International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV 2003), pp. 12–21. ACM, New York (2003)
Traverso, S., Huguenin, K., Triestan, I., Erramilli, V., Laoutaris, N., Papagiannaki, K.: Tailgate: handling long-tail content with a little help from friends. In: Proceedings of the 21st International Conference on World Wide Web (WWW 2012), pp. 151–160. ACM, New York (2012)
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Christodoulou, G., Georgiou, C., Pallis, G. (2012). The Role of Twitter in YouTube Videos Diffusion. In: Wang, X.S., Cruz, I., Delis, A., Huang, G. (eds) Web Information Systems Engineering - WISE 2012. WISE 2012. Lecture Notes in Computer Science, vol 7651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35063-4_31
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DOI: https://doi.org/10.1007/978-3-642-35063-4_31
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