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

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页码：1066 / +

页数：2

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