Exploring Trends and Patterns of Popularity Stage Evolution in Social Media
Qingchao Kong; Wenji Mao; Guandan Chen; Daniel Zeng
2018
发表期刊IEEE Transactions on Systems, Man, and Cybernetics: Systems
期号0页码:1-11
摘要The popularity of online contents in social media frequently experiences ebb and flow, and thus its evolution often involves different stages, such as burst and valley. Exploring the patterns of popularity evolution, especially how burst forms and decays, and even further, predicting the trends of popularity evolution is both an important research topic and beneficial to support decision making for many applications, such as emergency management, business intelligence, and public security. Previous work on popularity prediction has focused on predicting the popularity volume of online contents, and at most, popularity burst and ignored the exploration of popularity evolution and the prediction of its stages. To fill this gap, in this paper, we propose our method for the popularity stage prediction problem both at the microscopic level and macroscopic level. At the microscopic level, we first extract multiple dynamic factors and infer future evolution stage by considering the contributions of different dynamic factors. At the macroscopic level, we extract the overall evolution patterns of popularity stages and adopt a pattern matching-based method to predict future popularity stages. We evaluate the proposed approach using tweets in SinaWeibo, the most popular Twitter-like social media platform in China. The experimental results show the effectiveness of our proposed approach in predicting popularity evolution stages.
其他摘要
关键词Online Contents Popularity Evolution Popularity Stage Prediction (Psp) Social Media Analytics
DOI10.1109/TSMC.2018.2855806
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21797
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.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
2.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
3.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
4.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Qingchao Kong,Wenji Mao,Guandan Chen,et al. Exploring Trends and Patterns of Popularity Stage Evolution in Social Media[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems,2018(0):1-11.
APA Qingchao Kong,Wenji Mao,Guandan Chen,&Daniel Zeng.(2018).Exploring Trends and Patterns of Popularity Stage Evolution in Social Media.IEEE Transactions on Systems, Man, and Cybernetics: Systems(0),1-11.
MLA Qingchao Kong,et al."Exploring Trends and Patterns of Popularity Stage Evolution in Social Media".IEEE Transactions on Systems, Man, and Cybernetics: Systems .0(2018):1-11.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
TSMC-system-发表版本.pdf(1589KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Qingchao Kong]的文章
[Wenji Mao]的文章
[Guandan Chen]的文章
百度学术
百度学术中相似的文章
[Qingchao Kong]的文章
[Wenji Mao]的文章
[Guandan Chen]的文章
必应学术
必应学术中相似的文章
[Qingchao Kong]的文章
[Wenji Mao]的文章
[Guandan Chen]的文章
相关权益政策
暂无数据
收藏/分享
文件名: TSMC-system-发表版本.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。