Li, Chin-Lung Cheng, Chang-Yuan Li, Chun-Hsien
Published in
Nonlinear analysis. Real world applications
Contagious pathogens, such as influenza and COVID-19, are known to be represented by multiple genetic strains. Different genetic strains may have different characteristics, such as spreading more easily, causing more severe diseases, or even evading the immune response of the host. These facts complicate our ability to combat these diseases. There ...
Inoue, Masaaki Pham, Thong Shimodaira, Hidetoshi
Temporal datasets that describe complex interactions between individuals over time are increasingly common in various domains. Conventional graph representations of such datasets may lead to information loss since higher-order relationships between more than two individuals must be broken into multiple pairwise relationships in graph representation...
St-Onge, Guillaume Iacopini, Iacopo Latora, Vito Barrat, Alain Petri, Giovanni Allard, Antoine Hébert-Dufresne, Laurent
Published in
Communications Physics
Group interactions can dramatically alter social contagion dynamics and lead to the emergence of new phenomena like abrupt transitions and critical mass effects. The authors develop an approximate master equation framework to analytically describe contagion in heterogeneous hypergraphs and study the impact of large influential groups in seeding and...
Coquidé, Célestin Lages, José Shepelyansky, Dima L.
From the Bretton Woods agreement in 1944 till the present day, the US dollar has been the dominant currency in the world trade. However, the rise of the Chinese economy led recently to the emergence of trade transactions in Chinese yuan. Here, we analyze mathematically how the structure of the international trade flows would favor a country to trad...
Silva, Miguel Eduardo Pinto da
Complex networks are topologically rich graphs, containing properties that are neither regular nor purely random. Complex networks model real complex systems, so analyzing and extracting information from networks provides knowledge about the system itself. Network comparison is a task within network analysis aimed at quantifying similarities and di...
Gonzalez-Astudillo, Juliana
A Brain-Computer Interface (BCI) is a system that can translate brain activity patterns into messages or commands for an interactive application. It enables a subject to send commands to a device only by means of brain activity, without requiring any peripherical muscular activity. These systems are increasingly explored for control and communicati...
Zhou, Hui Liu, Zijiang Chu, Dianhui Li, Wenxue
Published in
Neural networks : the official journal of the International Neural Network Society
The aim of this paper is to investigate exponential synchronization issue of time-varying multi-weights network with time delays (TMNTD) via periodic self-triggered intermittent sampled-data control. In particular, it is the first time to combine periodic self-triggered control and intermittent control with sampled-data, which has broader applicati...
Jia, Chaoqing Hu, Jun Liu, Hongjian Du, Junhua Feng, Shuyang
Published in
ISA transactions
This paper is concerned with the recursive state estimation (RSE) problem under minimum mean-square error sense for a class of nonlinear complex networks (CNs) with uncertain inner coupling, random link failures and packet disorders. Firstly, a set of random variables obeying the Bernoulli distribution is adopted to characterize whether there are c...
Hacohen, Adar Cohen, Reuven Efroni, Sol Bachelet, Ido Barzel, Baruch
Published in
Scientific Reports
Upon the development of a therapeutic, a successful response to a global pandemic relies on efficient worldwide distribution, a process constrained by our global shipping network. Most existing strategies seek to maximize the outflow of the therapeutics, hence optimizing for rapid dissemination. Here we find that this intuitive approach is, in fact...
Martín, Juan Carlos Román, Concepción
Published in
Applied Spatial Analysis and Policy
This paper aims to shed some light on an issue that has not been analyzed enough in previous studies on complex transportation networks. The financial crisis and disrupting events like the COVID-19 pandemic episode are affecting how governments make crucial decisions regarding policymaking paying more attention to experts’ opinions. The impacts of ...
