3,089 research outputs found
Competitive Networked Bivirus SIS spread over Hypergraphs
The paper deals with the spread of two competing viruses over a network of
population nodes, accounting for pairwise interactions and higher-order
interactions (HOI) within and between the population nodes. We study the
competitive networked bivirus susceptible-infected-susceptible (SIS) model on a
hypergraph introduced in Cui et al. [1]. We show that the system has, in a
generic sense, a finite number of equilibria, and the Jacobian associated with
each equilibrium point is nonsingular; the key tool is the Parametric
Transversality Theorem of differential topology. Since the system is also
monotone, it turns out that the typical behavior of the system is convergence
to some equilibrium point. Thereafter, we exhibit a tri-stable domain with
three locally exponentially stable equilibria. For different parameter regimes,
we establish conditions for the existence of a coexistence equilibrium (both
viruses infect separate fractions of each population node)
Towards Understanding the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model
This paper studies the endemic behavior of a multi-competitive networked
susceptible-infected-susceptible (SIS) model. Specifically, the paper deals
with three competing virus systems (i.e., tri-virus systems). First, we show
that a tri-virus system, unlike a bi-virus system, is not a monotone dynamical
system. Using the Parametric Transversality Theorem, we show that, generically,
a tri-virus system has a finite number of equilibria and that the Jacobian
matrices associated with each equilibrium are nonsingular. The endemic
equilibria of this system can be classified as follows: a) single-virus endemic
equilibria (also referred to as the boundary equilibria), where precisely one
of the three viruses is alive; b) 2-coexistence equilibria, where exactly two
of the three viruses are alive; and c) 3-coexistence equilibria, where all
three viruses survive in the network. We provide a necessary and sufficient
condition that guarantees local exponential convergence to a boundary
equilibrium. Further, we secure conditions for the nonexistence of
3-coexistence equilibria (resp. for various forms of 2-coexistence equilibria).
We also identify sufficient conditions for the existence of a 2-coexistence
(resp. 3-coexistence) equilibrium. We identify conditions on the model
parameters that give rise to a continuum of coexistence equilibria. More
specifically, we establish i) a scenario that admits the existence and local
exponential attractivity of a line of coexistence equilibria; and ii) scenarios
that admit the existence of, and, in the case of one such scenario, global
convergence to, a plane of 3-coexistence equilibria.Comment: arXiv admin note: substantial text overlap with arXiv:2209.1182
General SIS diffusion process with indirect spreading pathways on a hypergraph
While conventional graphs only characterize pairwise interactions,
higher-order networks (hypergraph, simplicial complex) capture multi-body
interactions, which is a potentially more suitable modeling framework for a
complex real system. However, the introduction of higher-order interactions
brings new challenges for the rigorous analysis of such systems on a
higher-order network. In this paper, we study a series of SIS-type diffusion
processes with both indirect and direct pathways on a directed hypergraph. In a
concrete case, the model we propose is based on a specific choice (polynomial)
of interaction function (how several agents influence each other when they are
in a hyperedge). Then, by the same choice of interaction function, we further
extend the system and propose a bi-virus competing model on a directed
hypergraph by coupling two single-virus models together. Finally, the most
general model in this paper considers an abstract interaction function under
single-virus and bi-virus settings. For the single-virus model, we provide the
results regarding healthy state and endemic equilibrium. For the bi-virus
setting, we further give an analysis of the existence and stability of the
healthy state, dominant endemic equilibria, and coexisting equilibria. All
theoretical results are finally supported by some numerical examples
Data based identification and prediction of nonlinear and complex dynamical systems
We thank Dr. R. Yang (formerly at ASU), Dr. R.-Q. Su (formerly at ASU), and Mr. Zhesi Shen for their contributions to a number of original papers on which this Review is partly based. This work was supported by ARO under Grant No. W911NF-14-1-0504. W.-X. Wang was also supported by NSFC under Grants No. 61573064 and No. 61074116, as well as by the Fundamental Research Funds for the Central Universities, Beijing Nova Programme.Peer reviewedPostprin
A Discrete-time Networked Competitive Bivirus SIS Model
The paper deals with the analysis of a discrete-time networked competitive
bivirus susceptible-infected-susceptible (SIS) model. More specifically, we
suppose that virus 1 and virus 2 are circulating in the population and are in
competition with each other. We show that the model is strongly monotone, and
that, under certain assumptions, it does not admit any periodic orbit. We
identify a sufficient condition for exponential convergence to the disease-free
equilibrium (DFE). Assuming only virus 1 (resp. virus 2) is alive, we establish
a condition for global asymptotic convergence to the single-virus endemic
equilibrium of virus 1 (resp. virus 2) -- our proof does not rely on the
construction of a Lyapunov function. Assuming both virus 1 and virus 2 are
alive, we establish a condition which ensures local exponential convergence to
the single-virus equilibrium of virus 1 (resp. virus 2). Finally, we provide a
sufficient (resp. necessary) condition for the existence of a coexistence
equilibrium
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