Probing empirical contact networks by simulation of spreading dynamics

Material type: 図書

Author: HOLME, PETTERほか

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Publication date: 2018-06

Material Format: Paper

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Note (General)：: Disease, opinions, ideas, gossip, etc. all spread on social networks. How these networks are connected (the network structure) influences the dynamics...

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Paper

Material Type: 図書
Title: Probing empirical contact networks by simulation of spreading dynamics
Author/Editor: HOLME, PETTER
Holme, Petter
Author Heading: HOLME, PETTER
Holme, Petter
Publication Date: 2018-06
Publication Date (W3CDTF): 2018-06
Periodical title: Complex spreading phenomena in social systems: Influence and contagion in real-world social networks
Pages: 109-124
Text Language Code: eng
Target Audience: 一般
Note (General): 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
Related Material (DOI): 10.1007/978-3-319-77332-2
Data Provider (Database): 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
Original Data Provider (Database): 東京工業大学 : 東京工業大学リサーチリポジトリ