Knowledge diffusion of dynamical network in terms of interaction frequency

doi:10.1038/s41598-017-11057-8

CORC > 上海财经大学 > 上海财经大学

	Knowledge diffusion of dynamical network in terms of interaction frequency
	Liu, Jian-Guo 1; Zhou, Qing 2; Guo, Qiang 2; Yang, Zhen-Hua 1,4; Xie, Fei 3; Han, Jing-Ti 1
刊名	SCIENTIFIC REPORTS
	2017-09-07
卷号	7
ISSN号	2045-2322
DOI	10.1038/s41598-017-11057-8
英文摘要	In this paper, we present a knowledge diffusion (SKD) model for dynamic networks by taking into account the interaction frequency which always used to measure the social closeness. A set of agents, which are initially interconnected to form a random network, either exchange knowledge with their neighbors or move toward a new location through an edge-rewiring procedure. The activity of knowledge exchange between agents is determined by a knowledge transfer rule that the target node would preferentially select one neighbor node to transfer knowledge with probability p according to their interaction frequency instead of the knowledge distance, otherwise, the target node would build a new link with its second-order neighbor preferentially or select one node in the system randomly with probability 1 - p. The simulation results show that, comparing with the Null model defined by the random selection mechanism and the traditional knowledge diffusion (TKD) model driven by knowledge distance, the knowledge would spread more fast based on SKD driven by interaction frequency. In particular, the network structure of SKD would evolve as an assortative one, which is a fundamental feature of social networks. This work would be helpful for deeply understanding the coevolution of the knowledge diffusion and network structure.
WOS研究方向	Science & Technology - Other Topics
语种	英语
出版者	NATURE PUBLISHING GROUP
WOS记录号	WOS:000409561800008
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/892]
专题	上海财经大学
通讯作者	Liu, Jian-Guo
作者单位	1.Shanghai Univ Finance & Econ, Data Sci & Cloud Serv Res Ctr, Shanghai 200433, Peoples R China; 2.Univ Shanghai Sci & Technol, Res Ctr Complex Syst Sci, Shanghai 200093, Peoples R China; 3.Shanghai Univ Finance & Econ, Sch Finance, Shanghai 200433, Peoples R China; 4.Huzhou Univ, Business Sch, Huzhou 313000, Peoples R China
推荐引用方式 GB/T 7714	Liu, Jian-Guo,Zhou, Qing,Guo, Qiang,et al. Knowledge diffusion of dynamical network in terms of interaction frequency[J]. SCIENTIFIC REPORTS,2017,7.
APA	Liu, Jian-Guo,Zhou, Qing,Guo, Qiang,Yang, Zhen-Hua,Xie, Fei,&Han, Jing-Ti.(2017).Knowledge diffusion of dynamical network in terms of interaction frequency.SCIENTIFIC REPORTS,7.
MLA	Liu, Jian-Guo,et al."Knowledge diffusion of dynamical network in terms of interaction frequency".SCIENTIFIC REPORTS 7(2017).