A framework for discovering spatio-temporal cohesive networks

被引：0

作者：

Yoo, Jin Soung ^{[1
]}

Hwang, Joengmin ^{[2
]}

机构：

[1] Indiana Univ Purdue Univ, Dept Comp Sci, Ft Wayne, IN 46805 USA

[2] Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN USA

来源：

ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS | 2008年 / 5012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：

A spatio-temporal cohesive network represents a social network in which people often interact closely in both space and time. Spatially and temporally close people tend to share information and show homogeneous behavior. We discuss modeling social networks from spatio-temporal human activity data, and alternative interest measures for estimating the strength of subgroup cohesion in spatial and temporal space. We present an algorithm for mining spatio-temporal cohesive networks.

引用

页码：1056 / +

页数：2

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