フシミ　タカヤス   Takayasu Fushimi   伏見　卓恭    所属   コンピュータサイエンス学部 コンピュータサイエンス学科    職種   専任講師
言語種別	日本語
発行・発表の年月	2017/06
形態種別	学術論文
査読	査読あり
標題	ネットワーク上での特徴量分布を考慮したアノテーション付与法
執筆形態	共著
掲載誌名	情報処理学会論文誌 ネットワーク科学特集号
掲載区分	国内
著者・共著者	伏見 卓恭，佐藤 哲司，斉藤 和巳，風間 一洋
概要	In some types of real networks, the tendency for some nodes in a network to connect to other nodes that have similar features have been found. However generally, not all nodes on the network possess the similar features and there exist some change points of the feature distributions. That is to say, when we extract a certain node group, feature distribution over this node group differs in those over other nodes. We also assume that the density of feature distribution gradually or rapidly decays according to the distance from center of the distribution. In this paper, we deal with feature vectors of nodes which are obtained from activities or contents the nodes posted and their resultant vectors with introducing distance based decay weights. By clustering these resultant vectors, we attempt to extract semantically and structurally cohesive node groups, then annotate node groups with features which significantly occur in them. Moreover, since the number of similar neighbor nodes differs in each node, we should control the degree of decay with respect to each node. Therefore, we explain an estimation method of exponential decay function paramter which control distance based decay weights. From experimental evaluations using three real networks, we discuss the relation between estimated parameters and nature of nodes. Furthermore, we quantitatively evaluate annotation results of extracted node groups in terms of semantic and structural cohesiveness.