Mining phase evolution for hot topics: A case study from multiple social media platforms
Ruoran Liu1,2; Qiudan Li1; Can Wang1,2; Lei Wang1; Daniel Dajun Zeng1,2,3; Hongyuan Ma4
2017
会议名称2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC2017)
页码2814-2819
会议日期October 5-8, 2017
会议地点Canada
摘要Monitoring the evolution phases of real-time event including occurrence, development, climax, decline and ending is crucial for management department to intuitively and comprehensively understand the event and then make better decisions. However, there have been very few studies on performing phase evolution analysis of event using the number of posts at the specific time unit. The challenge of this problem is how to identify temporal pattern and mine topic of different phases automatically. In this paper, we propose a unified phase evolution mining model, it firstly identifies the temporal patterns of phases based on k-means and empirical rules, then, burst detection algorithm is adopted to discover peak interval of all phases, finally, we use a summarization technique TextRank to extract keywords from contents to summarize the topics in each phase. In addition, we perform experiments on two real-world datasets collected from different social media platform to understand the event evolution in a more comprehensive way. Experimental results show the characteristics of event evolution on different social media platforms and verify the efficacy of the proposed model.
关键词Phase Evolution K-means Burst Detection Textrank Social Media
收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/19880
专题复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
通讯作者Qiudan Li
作者单位1.The State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences Beijing 100190, China
2.University of Chinese Academy of Sciences, Beijing, China
3.University of Arizona Tucson, Arizona, USA
4.CNCERT/CC, Beijing, China
推荐引用方式
GB/T 7714
Ruoran Liu,Qiudan Li,Can Wang,et al. Mining phase evolution for hot topics: A case study from multiple social media platforms[C],2017:2814-2819.
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