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Title
Japanese: 
English:Probing empirical contact networks by simulation of spreading dynamics 
Author
Japanese: HOLMEPETTER.  
English: Petter Holme.  
Language English 
Journal/Book name
Japanese: 
English:Complex spreading phenomena in social systems: Influence and contagion in real-world social networks 
Volume, Number, Page         pp. 109-124
Published date June 21, 2018 
Publisher
Japanese: 
English: 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Official URL https://www.springer.com/jp/book/9783319773315
 
DOI https://doi.org/10.1007/978-3-319-77332-2
Abstract 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.

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