QQ客服 官方微博 反馈留言

	The Role of Node Heterogeneity in the Coupled Spreading of Epidemics and Awareness
	Guo, Quantong ; Lei, Yanjun ; Xia, Chengyi ; Guo, Lu ; Jiang, Xin ; Zheng, Zhiming
	2016
关键词	COMPLEX NETWORKS OUTBREAKS
英文摘要	Exploring the interplay between information spreading and epidemic spreading is a topic that has been receiving increasing attention. As an efficient means of depicting the spreading of information, which manifests as a cascade phenomenon, awareness cascading is utilized to investigate this coupled transmission. Because in reality, different individuals facing the same epidemic will exhibit distinct behaviors according to their own experiences and attributes, it is important for us to consider the heterogeneity of individuals. Consequently, we propose a heterogeneous spreading model. To describe the heterogeneity, two of the most important but radically different methods for this purpose, the degree and k-core measures, are studied in this paper through three models based on different assumptions. Adopting a Markov chain approach, we succeed in predicting the epidemic threshold trend. Furthermore, we find that when the k-core measure is used to classify individuals, the spreading process is robust to these models, meaning that regardless of the model used, the spreading process is nearly identical at the macroscopic level. In addition, the k-core measure leads to a much larger final epidemic size than the degree measure. These results are cross-checked through numerous simulations, not only of a synthetic network but also of a real multiplex network. The presented findings provide a better understanding of k-core individuals and reveal the importance of considering network structure when investigating various dynamic processes.; Academic Excellence Foundation of BUAA; National Natural Science Foundation of China (NSFC) [11201017, 61374169, 11290141]; China Scholarship Council (CSC) [201406020055]; SCI(E); ARTICLE; jiangxin@buaa.edu.cn; zzheng@pku.edu.cn; 8; 11
语种	英语
出处	SCI
出版者	PLOS ONE
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/491601]
专题	数学科学学院
推荐引用方式 GB/T 7714	Guo, Quantong,Lei, Yanjun,Xia, Chengyi,et al. The Role of Node Heterogeneity in the Coupled Spreading of Epidemics and Awareness. 2016-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。