Understanding Information Propagation on Online Social Tagging Systems: A Case Study on Flickr

被引：0
|
作者：
Quan, Meinu [1 ]
Pham, Xuan Hau [1 ]
Jung, Jason J. [1 ]
Hwang, Dosam [1 ]
机构：
[1] Yeungnam Univ, Dept Comp Engn, Gyongsan 712749, South Korea
来源：
INTELLIGENT INFORMATION AND DATABASE SYSTEMS (ACIIDS 2012), PT II | 2012年 / 7197卷
关键词：
Social tagging; Information propagation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Social media have been one of the most popular online communication channels to share information among users. It means the users can give (and take) cognitive influence to (and from) the others. Thus, it is important for many applications to understand how the information can be propagated. In this paper, we focus on social tagging systems where users can easily exchange tags with each other. To conduct experimentation, a tag search system has been implemented to collect a dataset from Flickr.
引用
收藏
页码：166 / 174
页数：9
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