Abstract
Online social network (OSN) is becoming more and more prevalent currently. Some literature about it has been published, but few papers talked about Sina Weibo, which is the largest microblog in China. Weibo increases rapidly and draws 100 million users within a year and a half, and users of Weibo are Chinese, who enjoy a different culture.
We crawled Weibo for one month and collected 1.12 million user profiles. Using this dataset, we study the dynamics and the characteristic path length of the network, some core users and the reciprocal rate. Based on our results, we show the topological characteristics of Sina Weibo and deduce what people use Sina Weibo for. We believe our findings can be used to understand current large-scale OSN for future research on tweet propagation and hot topic prediction, and to provide useful and practical hints for future design of large-scale OSN system.
Supported by the FRFCU grant 2011QN045, NSF of Hubei Province grant 2010CDB02306 and CNGI grant CNGI-122.
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Guo, Z., Li, Z., Tu, H., Xie, D. (2014). Weibo: An Information-Driven Online Social Network. In: Gavrilova, M.L., Tan, C.J.K. (eds) Transactions on Computational Science XXII. Lecture Notes in Computer Science, vol 8360. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54212-1_1
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