Phase transition in information propagation on high-order networks

doi:10.1142/S0217979220502033

	Phase transition in information propagation on high-order networks
	Nian, Fuzhong; Yu, X.; Cao, J.; Luo, L.
刊名	INTERNATIONAL JOURNAL OF MODERN PHYSICS B
	2020-08-20
卷号	34 期号:21
关键词	High-order network information propagation SCE SI2R model phase transition
ISSN号	0217-9792
DOI	10.1142/S0217979220502033
英文摘要	The phase transition in information spreading was investigated. Two phase transitions were studied, respectively, from the point of view of network information and the node information, and the corresponding simulations were implemented on high-order networks. In order to explore the phase transition in information dissemination, this paper analyzes the characteristics of social networks and constructs a high-order network model with explicit, subexplicit, and implicit relationships. The factors affecting interpersonal communication were analyzed, the social cumulative effect was introduced, and two transmission models with characteristics of permanent forgetting and temporary forgetting were proposed. The comparison between simulated experiment and real case shows that the network mode accord with the characteristics of the actual network, and the two models of phase transitions are closer to the actual.
WOS研究方向	Physics
语种	英语
出版者	WORLD SCIENTIFIC PUBL CO PTE LTD
WOS记录号	WOS:000576739700004
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/155121]
专题	计算机与通信学院兰州理工大学
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Nian, Fuzhong,Yu, X.,Cao, J.,et al. Phase transition in information propagation on high-order networks[J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS B,2020,34(21).
APA	Nian, Fuzhong,Yu, X.,Cao, J.,&Luo, L..(2020).Phase transition in information propagation on high-order networks.INTERNATIONAL JOURNAL OF MODERN PHYSICS B,34(21).
MLA	Nian, Fuzhong,et al."Phase transition in information propagation on high-order networks".INTERNATIONAL JOURNAL OF MODERN PHYSICS B 34.21(2020).