Abstract
Nowadays, Twitter has become an important platform to expand the diffusion of information or advertisement. Mention is a new feature on Twitter. By mentioning users in a tweet, they will receive notifications and their possible retweets may help to initiate large cascade diffusion of the tweet. To enhance a tweet’s diffusion by finding the right persons to mention, in this paper, we propose three factors that probably have impact on tweet’s diffusion. Specifically, these factors are user vulnerability, user’s online status and spatial location. In this paper, the issue ‘whom to mention when tweeting’ is transformed to the issue ‘choosing users who have higher probability to retweet. By analyzing users retweet behaviors, online status and users’ location in Twitter, we confirm these three factors. Experiments were conducted on a real dataset from Twitter containing about 49,253 users and 563,758 tweets in a target community, and results show that these three factors all have significant impacts on retweeting and information diffusion.
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References
Zhao, W.X., Jiang, J., Weng, J., He, J., Lim, E.-P., Yan, H., Li, X.: Comparing Twitter and traditional media using topic models. In: Clough, P., Foley, C., Gurrin, C., Jones, G.J., Kraaij, W., Lee, H., Mudoch, V. (eds.) ECIR 2011. LNCS, vol. 6611, pp. 338–349. Springer, Heidelberg (2011)
Bakshy, E., Hofman, J., Mason, W., Watts, D.: Everyone’s an influencer: quantifying influence on Twitter. In: Proceedings of WSDM 2011, pp. 65–74 (2011)
Wu, S., Hofman, J., Mason, W., Watts, D.: Who says what to whom on Twitter. In: Proceedings of WWW 2011, pp. 705–714 (2011)
Wang, B., Wang, C., Bu, J., Chen, C., Zhang, W.V., Cai, D., He, X.: Whom to mention: expand the diffusion of tweets by @ recommendation on micro-blogging systems. In: Proceedings of the 22nd International Conference on World Wide Web (WWW 2013), Rio de Janeiro, Brazil, May 2013, pp. 1331–1340 (2013)
Honeycutt, C., Herring, S.: Beyond microblogging: conversation and collaboration via Twitter. In: Proceedings of the HICSS 2009, pp. 1–10 (2009)
Java, A., Song, X., Finin, T., Tseng, B.: Why we Twitter: understanding microblogging usage and communities. In: Proceedings of the WebKDD/SNA-KDD 2007, pp. 56–65 (2007)
Suh, B., Hong, L., Pirolli, P., Chi, E.H.: Want to be retweeted? Large scale analytics on factors impacting retweet in Twitter network. In: 2010 IEEE Second International Conference on Social Computing (SocialCom), pp. 177–184 (2010)
Boyd, D., Golder, S., Lotan, G.: Tweet, tweet, retweet: conversational aspects of retweeting on Twitter. In: Proceedings of the HICSS 2010, pp. 1–10 (2010)
Xu, Z., Yang, Q.: Analyzing user retweet behavior on Twitter. In: 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 46–50 (2012)
Boehmer, J., Tandoc Jr., E.C.: Why we retweet: factors influencing intentions to share sport news on Twitter. Int. J. Sport Commun. 8, 212–232 (2015)
Ye, S., Wu, S.: Measuring message propagation and social influence on twitter.com. In: Bolc, L., Makowski, M., Wierzbicki, A. (eds.) SocInfo 2010. LNCS, vol. 6430, pp. 216–231. Springer, Heidelberg (2010)
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Li, Y., Ding, Z., Zhang, X., Liu, B., Zhang, W. (2016). Confirmatory Analysis on Influencing Factors When Mention Users in Twitter. In: Morishima, A., et al. Web Technologies and Applications. APWeb 2016. Lecture Notes in Computer Science(), vol 9865. Springer, Cham. https://doi.org/10.1007/978-3-319-45835-9_10
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DOI: https://doi.org/10.1007/978-3-319-45835-9_10
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