A system to extract social networks based on the processing of information obtained from Internet

被引：1

作者：

Canaleta, Xavi ^{[1
]}

Ros, Pablo ^{[1
]}

Vallejo, Alex ^{[2
]}

Vernet, David ^{[3
]}

Zaballos, Agustin ^{[2
]}

机构：

[1] Univ Ramon Llull, Grp Recerca Sistemes Distribuits, Barcelona, Spain

[2] Univ Ramon Llull, Seccio Telemat, Barcelona, Spain

[3] Univ Ramon Llull, Grp Rec Sistemes Intel Ligents Engn & Arquitectur, Barcelona, Spain

来源：

ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT | 2008年 / 184卷

关键词：

Social networks; web mining; web crawling; affinity;

D O I：

10.3233/978-1-58603-925-7-283

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The amount of information available on Internet increases by the day. This constant growth makes it difficult to distinguish between information which is relevant and which is not, particularly in key areas which are of strategic interest to business and universities or research centres. This article presents an automatic system to extract social networks: a software designed to generate social networks by exploiting information which is already available on Internet through the use of common search engines Such as Google or Yahoo. Furthermore, the metrics used to calculate the affinities between different actors in order to confirm the real ties which connect them and the methods to extract the semantic descriptions of each actor are presented. This represents the innovative part of this research.

引用

页码：283 / +

页数：2

共 11 条

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