Network Data Mining And Analysis

 网络数据挖掘与分析 

 Gao Ming

丛书名：East China Normal University Scientific Reports

中图分类号：TP3

语种：ENG

出版信息：World Scientific Publishing Company 2018 205页

EISBN：9789813274969

PISBN-P：9789813274952 

内容简介

Online social networking sites like Facebook, LinkedIn, and Twitter, offer millions of members the opportunity to befriend one another, send messages to each other, and post content on the site — actions which generate mind-boggling amounts of data every day.To make sense of the massive data from these sites, we resort to social media mining to answer questions like the following:Social media shatters the boundaries between the real world and the virtual world. We can now integrate social theories with computational methods to study how individuals interact with each other and how social communities form in bipartite and signed networks. The uniqueness of social media data calls for novel data mining techniques that can effectively handle user generated content with rich social relations. The study and development of these new techniques are under the purview of social media mining, an emerging discipline under the umbrella of data mining. Social Media Mining is the process of representing, analyzing, and extracting actionable patterns from social media data. 

主题词

computer sciencedatabasesinformation sciences