Chaos An Interdisciplinary Journal of Nonlinear Science,
Год журнала:
2024,
Номер
34(10)
Опубликована: Окт. 1, 2024
Real-world
complex
systems
demonstrated
temporal
features,
i.e.,
the
network
topology
varies
with
time
and
should
be
described
as
networks
since
traditional
static
cannot
accurately
characterize.
To
describe
deliberate
attack
events
in
networks,
we
propose
an
activity-based
targeted
on
activity-driven
to
investigate
networks’
percolation
properties
resilience.
Based
node
activity
mapping
framework,
giant
component
threshold
are
solved
according
theory
generating
function.
The
theoretical
results
coincide
simulation
near
thresholds.
We
find
that
attacks
can
affect
network,
while
random
cannot.
As
probability
of
a
highly
active
being
deleted
increases,
thus
enhancing
robustness.
When
network’s
distribution
is
extremely
heterogeneous,
robustness
decreases
consequently.
These
findings
help
us
analyze
understand
real-world
networks.
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.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 36074 - 36082
Опубликована: Янв. 1, 2024
Estimating
the
fraction
of
percolating
cluster
is
at
core
many
percolation
models.
For
real
networks,
total
size
clusters
with
loops
can
be
considered
a
plausible
metric
for
cluster.
In
this
paper,
we
develop
semi-analytic
algorithm
to
estimate
both
site
and
bond
via
modifying
message
passing
algorithm.
We
compared
estimates
original
our
modified
version
simulation
results
on
four
networks.
Our
findings
suggest
that
achieve
high
accuracy
any
network,
provided
sufficient
number
possible
states
following
or
occupation
are
selected
analyzed
calculate
final
estimate.
