Expert finding in a social network

被引：0

作者：

Zhang, Jing ^{[1
]}

Tang, Jie ^{[1
]}

Li, Juanzi ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Comp Sci & Technol, 10-201,E Main Bldg, Beijing 100084, Peoples R China

来源：

ADVANCES IN DATABASES: CONCEPTS, SYSTEMS AND APPLICATIONS | 2007年 / 4443卷

关键词：

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：

This paper addresses the issue of expert finding in a social network. The task of expert finding, as one of the most important research issues in social networks, is aimed at identifying persons with relevant expertise or experience for a given topic. In this paper, we propose a propagation-based approach that takes into consideration of both person local information and network information (e.g. relationships between persons). Experimental results show that our approach can outperform the baseline approach.

引用

页码：1066 / +

页数：2

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