Study of Knowledge Discovery in Social Network Data Mining

10.3966/199115992017102805010

Chang Zhang；Han Yu；Qi Wang；Yuan-yuan Ren；Yan-ling Su

clustering ； data mining ； distance ； similarity ； social networks ； transitivity

電腦學刊

28卷5期（2017 / 10 / 01）

105 - 115

英文

Data mining as a high-tech subject is increasingly popular than before. Some data mining methods、data mining algorithms and application in social networks is introduced here. Especially, some specific social networks datasets are used to analyze the characters of social networks, the datasets are analyzed from aspects of link proportion、adjacency、out-degree、 in-degree、similarity、clustering、distance、density、transitivity、groups and reachability. Some innovative data mining knowledge of social networks can be drawn by analyzing a crowd of data sets.

1. 楊天怡(2017)。天氣對於皮膚病之相關性研究。國立臺灣大學資訊管理學系學位論文。2017。1-53。