Co-evolution dynamics between information and epidemic with asymmetric activity levels and community structure in time-varying multiplex networks
Chaos Solitons & Fractals,
Год журнала:
2024,
Номер
181, С. 114586 - 114586
Опубликована: Фев. 19, 2024
Язык: Английский
A Two-Layer Network Model of the Evolution of Public Risk Perception of Emerging Technologies
Heliyon,
Год журнала:
2025,
Номер
unknown, С. e42391 - e42391
Опубликована: Янв. 1, 2025
Язык: Английский
Effects of positive and negative social reinforcement on coupling of information and epidemic in multilayer networks
Chaos An Interdisciplinary Journal of Nonlinear Science,
Год журнала:
2025,
Номер
35(4)
Опубликована: Апрель 1, 2025
The
spread
of
epidemics
is
often
accompanied
by
the
epidemic-related
information,
and
two
processes
are
interdependent
interactive.
A
social
reinforcement
effect
frequently
emerges
during
transmission
both
epidemic
information.
While
prior
studies
have
primarily
examined
role
positive
in
this
process,
influence
negative
has
largely
been
neglected.
In
paper,
we
incorporate
effects
establish
a
two-layer
dynamical
model
to
investigate
interactive
coupling
mechanism
information
transmission.
Heaviside
step
function
utilized
describe
reinforcements
actual
process.
microscopic
Markov
chain
approach
used
dynamic
evolution
outbreak
threshold
derived.
Extensive
Monte
Carlo
numerical
simulations
demonstrate
that
while
alters
promotes
their
spread,
does
not
change
but
significantly
impedes
both.
addition,
publishing
more
accurate
through
official
channels,
intensifying
quarantine
measures,
promoting
vaccines
treatments
for
outbreaks,
enhancing
physical
immunity
can
also
help
contain
epidemics.
Язык: Английский
Evolutionary modeling and analysis of opinion exchange and epidemic spread among individuals
Frontiers in Physics,
Год журнала:
2024,
Номер
12
Опубликована: Ноя. 27, 2024
The
opinions
of
individuals
within
a
group
about
an
ongoing
epidemic
play
crucial
role
in
the
dynamics
spread.
People’s
acceptance
others'
also
changes
with
changing
situation
and
communication
between
individuals,
how
individuals'
views
on
epidemics
affect
spread
has
become
unresolved
issue.
In
this
study,
we
construct
two-layer
coupled
network
that
integrates
Hegselmann-Krause
(HK)
continuous
opinion
model
model.
This
framework
takes
into
account
evolutionary
game
among
group.
We
investigate
dynamic
interaction
exchange
derive
threshold
using
Quasi-Mean-Field
(QMF)
approach.
results
indicate
under
different
infection
rates,
spontaneously
form
varying
levels
epidemic,
which
turn
evolve
final
states
for
higher
rate,
faster
positive
unified
forms.
Promoting
can,
to
some
extent,
inhibit
epidemic.
However,
due
diversity
complexity
information
real
world,
phenomenon
“delayed
prevention”
often
occurs.
Язык: Английский
The coupled dynamics of information-behavior-epidemic propagation considering the heterogeneity of adoption thresholds and network structures in multiplex networks
Physica A Statistical Mechanics and its Applications,
Год журнала:
2024,
Номер
647, С. 129928 - 129928
Опубликована: Авг. 1, 2024
Язык: Английский
Coupled Awareness-epidemic Spreading with the Consideration of Self-isolation Behavior
Physica Scripta,
Год журнала:
2024,
Номер
99(10), С. 105256 - 105256
Опубликована: Авг. 27, 2024
Abstract
Epidemic
transmission
and
the
associated
awareness
diffusion
are
fundamentally
interactive.
There
has
been
a
burgeoning
interest
in
exploring
coupled
epidemic-awareness
dynamic.
However,
current
research
predominantly
focuses
on
self-protection
behavior
stimulated
by
awareness,
paying
less
attention
to
self-isolation
behavior.
Given
constraints
of
government-mandated
quarantine
measures,
spontaneous
actions
assume
greater
significance
long-term
response
epidemics.
In
response,
we
propose
awareness-epidemic
spreading
model
with
consideration
subsequently
employ
Micro
Markov
Chain
Approach
analyze
model.
Extensive
experiments
show
that
can
effectively
raise
epidemic
threshold
reduce
final
outbreak
scale.
Notably,
multiplex
networks
positive
inter-layer
correlation,
inhibitory
effect
is
greatest.
Moreover,
there
exists
metacritical
point,
only
when
probability
exceeds
critical
value
this
will
increase
probability.
addition,
growth
average
degree
virtual-contact
layer
point.
This
emphasizes
significant
role
curbing
transmission,
providing
valuable
perspectives
for
prevention
through
interplay
spreading.
Язык: Английский
A coupled model of information-epidemic considering heterogeneity in individual activity levels in multiple networks
Communications in Nonlinear Science and Numerical Simulation,
Год журнала:
2024,
Номер
unknown, С. 108552 - 108552
Опубликована: Дек. 1, 2024
Язык: Английский
Dynamic Evolution Analysis of Digital Technology Multilayer Convergence Networks
Systems,
Год журнала:
2024,
Номер
12(10), С. 421 - 421
Опубликована: Окт. 9, 2024
This
paper
constructs
a
digital
technology
multilayer
convergence
network
model
to
explore
the
mechanisms
of
convergence.
The
analysis
is
based
on
patent
data
from
China’s
A-share
listed
companies
2012
2021.
results
show
continuous
increase
in
scale
and
structural
complexity,
with
intensified
cross-domain
interactions.
company
collaboration
subnetwork
evolved
decentralization
more
centralized
structure,
while
expanded
became
increasingly
complex.
Core
technologies
maintained
dominant
positions,
co-evolution
between
showed
sustained
development.
study
reveals
intricate
interdependencies
technological
collaboration,
providing
theoretical
insights
practical
implications
for
innovation
strategic
decision-making.
Язык: Английский