Predicting Popularity of Forum Threads for Public Events Security | |
Kong, Qingchao; Mao, Wenji; Zeng, Daniel; Wang, Lei; Wenji Mao | |
2014 | |
会议名称 | IEEE Joint Intelligence and Security Informatics Conference (IEEE ISI 2014) |
会议录名称 | Proceedings of IEEE Joint Intelligence and Security Informatics Conference (IEEE ISI 2014) |
会议日期 | 2014-9-24 |
会议地点 | the Hague, the Netherlands |
摘要 |
Web user’s online interactive behavior with others often makes some user generated contents popular. The modeling and prediction of the popularity of online content are an important research issue for many key application domains. In this paper, we focus on one form of user generated content, forum threads, and their popularity prediction for public events security. To predict the popularity of forum threads, we first define the popularity prediction problem, and identify the dynamic factors that affect the popularity of forum threads. Based on the information of dynamic evolution at the early stage, we propose a popularity prediction algorithm which makes use of the locality property and combines multiple dynamic factors. The proposed algorithm is further evaluated using the Tianya forum dataset on the discussions of various public events. The experimental results show that, compared to the baseline methods, our method achieves relatively better performance in predicting the popularity of forum threads on public events security. |
关键词 | Popularity Of Online Content Modeling And Prediction Of Popularity Evolution Social Media Analytics |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/11584 |
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 | Wenji Mao |
作者单位 | 1.中国科学院自动化研究所 2.中国科学院自动化研究所 3.中国科学院自动化研究所 4.天津大学 |
推荐引用方式 GB/T 7714 | Kong, Qingchao,Mao, Wenji,Zeng, Daniel,et al. Predicting Popularity of Forum Threads for Public Events Security[C],2014. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
JISIC2014-Predicting(355KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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