Classification of Networks using Hierarchical Network Motifs

2014 Fiscal Year Final Research Report

• Project/Area Number: 23500312
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Library and information science/Humanistic social informatics
• Research Institution: University of Shizuoka
• Principal Investigator: OKUBO Seiya 静岡県立大学, 経営情報学部, 助教 (90422576)
• Co-Investigator(Kenkyū-buntansha): MUTOH Nobuaki 静岡県立大学, 経営情報学部, 准教授 (40275102) ; SAITO Kazumi 静岡県立大学, 経営情報学部, 教授 (80379544) ; KAZAMA Kazuhiro 和歌山大学, システム工学部, 教授 (60647204)
• Project Period (FY): 2011-04-28 – 2015-03-31
• Keywords: 情報社会学 / ネットワーク類型化

Outline of Final Research Achievements

In this study, we proposed following models and methods. 1) Network generation model of growing networks using network motifs. 2) classification methods of networks using hierarchical network motifs. 3) change-point detection in time series data of reviews.

Free Research Field

情報セキュリティ、量子計算、行動の類型化、ゲーム情報学