کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7376128 1480077 2018 22 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Dynamical processes and epidemic threshold on nonlinear coupled multiplex networks
ترجمه فارسی عنوان
فرآیندهای دینامیکی و آستانه اپیدمی در شبکه های چندگانه چند جانبه غیر مرتبط
کلمات کلیدی
شبکه های غیر خطی مرتبط، رویکرد زنجیره مارکف میکروسکوپیک، گسترش اپیدمی،
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی
Recently, the interplay between epidemic spreading and awareness diffusion has aroused the interest of many researchers, who have studied models mainly based on linear coupling relations between information and epidemic layers. However, in real-world networks the relation between two layers may be closely correlated with the property of individual nodes and exhibits nonlinear dynamical features. Here we propose a nonlinear coupled information-epidemic model (I-E model) and present a comprehensive analysis in a more generalized scenario where the upload rate differs from node to node, deletion rate varies between susceptible and infected states, and infection rate changes between unaware and aware states. In particular, we develop a theoretical framework of the intra- and inter-layer dynamical processes with a microscopic Markov chain approach (MMCA), and derive an analytic epidemic threshold. Our results suggest that the change of upload and deletion rate has little effect on the diffusion dynamics in the epidemic layer.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 496, 15 April 2018, Pages 330-338
نویسندگان
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