Probing empirical contact networks by simulation of spreading dynamics

• 資料種別: 図書
• タイトル: Probing empirical contact networks by simulation of spreading dynamics
• 著者・編者: HOLME, PETTER; Holme, Petter
• 著者標目: HOLME, PETTER; Holme, Petter
• 出版年月日等: 2018-06
• 出版年（W3CDTF）: 2018-06
• タイトル（掲載誌）: Complex spreading phenomena in social systems: Influence and contagion in real-world social networks
• 掲載ページ: 109-124
• 本文の言語コード: eng
• 対象利用者: 一般
• 一般注記: Disease, opinions, ideas, gossip, etc. all spread on social networks. How these networks are connected (the network structure) influences the dynamics of the spreading processes. By investigating these relationships one gains understanding both of the spreading itself and the structure and function of the contact network. In this chapter, we will summarize the recent literature using simulation of spreading processes on top of empirical contact data. We will mostly focus on disease simulations on temporal proximity networks—networks recording who is close to whom, at what time—but also cover other types of networks and spreading processes. We analyze 29 empirical networks to illustrate the methods.; identifier:oai:t2r2.star.titech.ac.jp:50458636
• 関連情報（DOI）: 10.1007/978-3-319-77332-2
• 連携機関・データベース: 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• 提供元機関・データベース: 東京工業大学 : 東京工業大学リサーチリポジトリ