Track Related Bursty Topics in Weibo
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-56178-9_15
Reference18 articles.
1. Stieglitz S, Mirbabaie M, Ross B et al (2018) Social media analytics—challenges in topic discovery, data collection, and data preparation. Int J Inf Manage 39:156–168
2. Yu R, Qiu H, Wen Z et al (2016) A survey on social media anomaly detection. ACM SIGKDD Explor Newsl 18(1):1–14
3. Fan R, Zhao J, Xu K (2015) Topic dynamics in Weibo: a comprehensive study. Soc Netw Anal Min 5(1):41 (2015)
4. Kaplan AM, Haenlein M (2010) Users of the world, unite! the challenges and opportunities of social media. Bus Horiz 53(1):59–68
5. Lin CX, Zhao B, Mei Q et al (2010) PET: a statistical model for popular events tracking in social communities. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining, ACM, pp. 929–938
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