The Assessment of Expertise in Social Networks

被引：0

作者：

Carchiolo, Vincenza ^{[1
]}

Longheu, Alessandro ^{[1
]}

Malgeri, Michele ^{[1
]}

Mangioni, Giuseppe ^{[1
]}

机构：

[1] Univ Catania, Fac Ingn, Dip Ingn Informat & Telecomunicaz, I-95125 Catania, Italy

来源：

INTELLIGENT DISTRIBUTED COMPUTING III | 2009年 / 237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：

Experts finding is a frequent issue in social (even web-based) networks. This work proposes a method to globally rank people according to their expertise in a set of topics. We also introduce contexts similarity to allow related contexts to be exploited during ranks assessment. These ideas are applied to the expertise network built from Epinions.com dataset, showing first significant results.

引用

页码：53 / 62

页数：10

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