満足度の高い観光を行う上で，観光地の事前情報を知ることは重要である．特に観光経路の詳細を知るには，情報量の多い動画コンテンツが有効である．しかし，観光地を巡る経路をすべて動画で視聴するのは時間がかかるため，現実的とは言えない．そこで，観光経路動画のうち重要な部分のみを残したキュレーション動画を作成することで，短時間かつ必要な情報を伝える観光経路案内システムを検討した．また，観光経路案内システムに必要不可欠な動画収集について，動画収集実験を行った．

社会ネットワーク分析において，多様な性質を有するグループに接続する接点は有用な働きをする可能性がある．そこで，本研究は周囲に多様な属性を持つ接点の属性を明らかにする．そのために社会ネットワークにおける構造的特徴を測るためのエゴと周辺の異質性に基づいた属性のためのオペレータを定義し，構造的特徴を測るために意味を持つ属性を抽出した．また，抽出した属性を適用した形式概念分析を用いて，具体的なエゴの振る舞いを分析した．

Activate of community activities plays an important role in solving regional and national problems. In communities such as neighborhood associations, community activities sometimes carry out to enrich lives of members and improve their environment. Participation in community activities is supported by members having rights and responsibilities. However, there are few people who actually participate. That's because nonparticipants can obtain the same benefit with participants. Therefore, nomination of a leader who always participates in the activities and encourages the norm consciousness of the surrounding people is important to activate activities. In this research, we propose a community activity model introduced changes of a leader. We make community activity be activated by changing a leader.

Due to the recent trend of the Social Network and the increase in the number of academic papers published in the world, attributed networks consisting of relationships between objects such as humans and the papers are becoming huge. Therefore, various studies for clustering the attributed networks into some sub-networks are actively conducted. When clustering the attributed networks with the spectral clustering, the accuracy of the spectral clustering is greatly affected by quality of similarity matrices representing similarities between the objects. In this study, we aim to improve the accuracy by refining the matrices before applying the matrices to the spectral clustering. Furthermore, we verify practicability of our proposed method comparing accuracies of the spectral clustering with similarity matrices before and after refining.

Recently with the help of artificial intelligence (AI) in business sectors, innovative manufacturing methods are emerging. This study focuses on how to select mergers and acquisitions (M&A) partners automatically from transaction networks because transaction networks are important sources for business partner selection. We calculated betweenness centrality of and shortest path lengths between M&A pairs and found concentration intervals. From these results, we provide insights to M&A theory and practice.