Exploring Trends and Patterns of Popularity Stage Evolution in Social Media
文献类型：期刊论文
| 作者 | Qingchao Kong ; Wenji Mao; Guandan Chen; Daniel Zeng
|
| 刊名 | IEEE Transactions on Systems, Man, and Cybernetics: Systems
 |
| 出版日期 | 2018 |
| 期号 | 0页码:1-11 |
| 关键词 | Online Contents Popularity Evolution Popularity Stage Prediction (Psp) Social Media Analytics |
| DOI | 10.1109/TSMC.2018.2855806 |
| 英文摘要 | 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/21797]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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