Influencer Detection Approaches in Social Networks: A Current State-of-the-Art

被引：4
|
作者：
Puigbo, Jordi-Ysard [1 ]
Sanchez-Hernandez, German [1 ]
Casabayo, Monica [1 ]
Agell, Nuria [1 ]
机构：
[1] Ramon Llull Univ, GREC ESADE, Barcelona, Spain
来源：
ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT: RECENT ADVANCES AND APPLICATIONS | 2014年 / 269卷
关键词：
Influencers; Social Networks; Word-of-Mouth Marketing; Opinion Leaders;
D O I：
10.3233/978-1-61499-452-7-261
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper a literature review on approaches for influencer detection in social networks is conducted. The paper contributes with a comparison between the three most popular influencer detection tools, with an analysis of their methods and algorithms and with a list of proposed extending capabilities.
引用
收藏
页码：261 / 264
页数：4
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