Parallelizing the extraction of fresh information from online social networks
详细信息 查看全文
- 作者：Rui GuoAuthor Vitae ; Hongzhi Wang ; wangzh@hit.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Mengwen ChenAuthor Vitae ; Jianzhong LiAuthor Vitae ; Hong GaoAuthor Vitae
- 关键词：Crawler ; Freshness ; Online social network
- 刊名：Future Generation Computer Systems
- 出版年：2016
- 出版时间：June 2016
- 年：2016
- 卷：59
- 期：Complete
- 页码：33-46
- 全文大小：1484 K
文摘
- •
Category OSN users into 4 types according to their post behavior.
- •
Proposal the Poisson process model and hash model to collect fresh tweets.
- •
Discuss the parallelization technology of the Poisson process model.
- •
Design the centralized and distributed architectures of the crawler system.
- •
Conduct extensive experiments to verify the models and architectures.