Soziale Systeme,
Год журнала:
2020,
Номер
25(2), С. 251 - 276
Опубликована: Дек. 1, 2020
Abstract
Niklas
Luhmann
has
considered
the
concept
of
crisis
as
a
negative
self-description
modern
society.
However,
in
different
argumentative
contexts,
he
uses
to
refer
operative
processes
and
between
partial
systems
that
were
not
further
developed,
such
interruption
systemic
relations,
threshold,
rapid
transitions.
Drawing
on
theoretical
analyses
empirical
research,
I
argue
theory
critical
transitions
developed
ecosystem
research
offers
conceptual
horizon
from
which
obtain
insights
understand
explain
sudden
changes
To
this
extent,
propose
mechanism
meaning-based
social
discuss
its
components
light
related
literature.
conclude
that,
while
preserving
self-description,
transition
is
more
adequate
address
factual,
temporal,
operations
producing
shifts
complex
systems.
Physical Review Research,
Год журнала:
2024,
Номер
6(1)
Опубликована: Фев. 16, 2024
Political
polarization
in
online
social
platforms
is
a
rapidly
growing
phenomenon
worldwide.
Despite
their
relevance
to
modern-day
politics,
the
structure
and
dynamics
of
polarized
states
digital
spaces
are
still
poorly
understood.
We
analyze
community
two-layer,
interconnected
network
French
Twitter
users,
where
one
layer
contains
members
Parliament
other
regular
users.
obtain
an
optimal
representation
four-dimensional
political
opinion
space
by
combining
embedding
methods
survey
data.
find
structurally
cohesive
groups
sharing
common
attitudes
relate
them
party
landscape
France.
The
distribution
opinions
professional
politicians
narrower
than
that
indicating
presence
more
extreme
general
population.
politically
communities
interact
less
with
as
compared
centrist
groups.
apply
empirically
tested
influence
model
two-layer
pinpoint
interaction
mechanisms
can
describe
seen
data,
particularly
for
Our
results
shed
light
on
behaviors
drive
towards
uncover
informative
multidimensional
assess
online.
Published
American
Physical
Society
2024
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Ноя. 14, 2024
Existing
studies
of
political
polarization
are
often
limited
to
a
single
country
and
one
form
polarization,
hindering
comprehensive
understanding
the
phenomenon.
Here
we
investigate
patterns
online
across
nine
countries
(Canada,
France,
Germany,
Italy,
Poland,
Spain,
Turkey,
UK,
USA),
focusing
on
structure
interaction
networks,
use
toxic
language
targeting
out-groups,
how
these
factors
relate
user
engagement.
First,
show
that
networks
structurally
polarized
Twitter
(currently
X).
Second,
reveal
out-group
interactions,
defined
by
network,
more
than
in-group
indicative
affective
polarization.
Third,
interactions
receive
lower
engagement
interactions.
Finally,
identify
common
ally-enemy
in
mentions
apolitical
mentions,
highlight
between
politically
engaged
accounts
rarely
reciprocated.
These
results
hold
represent
step
towards
stronger
cross-country
Identifying
is
important
for
its
root
cause.
Here,
using
data
from
9
countries,
authors
mentions.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Фев. 8, 2024
Abstract
Sustainability
is
an
issue
of
worldwide
concern.
Twitter
one
the
most
popular
social
networks,
which
makes
it
particularly
interesting
for
exploring
opinions
and
characteristics
related
to
issues
preoccupation.
This
paper
aims
gain
a
better
understanding
activity
sustainability
that
takes
place
on
twitter.
In
addition
building
mathematical
model
identify
account
typologies
(bot
human
users),
different
behavioural
patterns
were
detected
using
clustering
analysis
mainly
in
mechanisms
posting
tweets
retweets).
The
took
as
explanatory
variables,
certain
user’s
profile
her/his
activity.
A
lexicon-based
sentiment
period
from
2006
2022
was
also
carried
out
conjunction
with
keyword
study
based
centrality
metrics.
We
found
that,
both
bot
users,
messages
showed
mostly
positive
sentiment.
Bots
had
higher
percentage
neutral
than
users.
With
respect
used
keywords
commonalities
but
slight
differences
between
humans
bots
identified.
Abstract
Using
network
theory
and
data
analysis,
we
study
the
messages
on
Twitter
(X)
about
ecological
sustainability
over
period
2007-2022.
With
a
global
view
of
70,311,541
examined
sentiment,
keywords
hashtags
utilised,
as
well
correlations
between
sentiment
both
socioeconomic
environmental
variables.
In
addition
to
above,
carried
out
an
in-depth
analysis
interactions
(retweets,
replies
quotes),
with
special
focus
community
(CNET)
(with
4576
supernodes,
9855
links).
The
shown
in
text
tweets
was
positive
years
all
analysed
locations,
although
close
neutral.
Keyword
detected
terms
present
posted
from
various
regions,
showing
thinking
world.
relationships
variables
were
continent-
country-specific,
identifying
stronger
correlation
attributes.
Regarding
CNET,
according
performed
using
adjacency
laplacian
embeddings,
Chebyshev,
Euclidean,
Minkowski,
Manhattan
distances,
pairs
unconnected
supernodes
appeared
have
more
similarity
their
connection
patterns
than
connected
due
topological
structure
CNET
which
has
large
number
peripheral
nodes
that
are
not
each
other,
but
higher
centrality.
agreement
Jaccard
coefficient,
resource
allocation
index,
Adamic
Adar
preferential
attachment
score,
there
is
little
possibility
link
formation
supernodes.
Statistically
also
exhibited
high
similarity.
A
few
specific
host
most
users,
highest
centralities
among
those
analysed.
basic
maintained
its
key
properties,
examined.
Strategies
promote
communication
achieve
greater
participation
diversity
discussions
need
be
further
investigated.
Abstract
The
extensive
data
generated
on
social
media
platforms
allow
us
to
gain
insights
over
trending
topics
and
public
opinions.
Additionally,
it
offers
a
window
into
user
behavior,
including
their
content
engagement
news
sharing
habits.
In
this
study,
we
analyze
the
relationship
between
users’
political
ideologies
they
share
during
Argentina’s
2019
election
period.
Our
findings
reveal
that
users
predominantly
aligns
with
beliefs,
despite
accessing
outlets
diverse
leanings.
Moreover,
observe
consistent
pattern
of
articles
related
biased
preferred
candidates,
highlighting
deeper
level
alignment
in
online
discussions.
We
believe
systematic
analysis
framework
can
be
applied
similar
scenarios
different
countries,
especially
those
marked
by
significant
polarization,
akin
Argentina.
Political
polarization
plays
a
pivotal
and
potentially
harmful
role
in
democracy.
However,
existing
studies
are
often
limited
to
single
country
one
form
of
polarization,
hindering
comprehensive
understanding
the
phenomena.
Here
we
investigate
how
affective
interactional
related
across
nine
countries
(Canada,
France,
Germany,
Italy,
Poland,
Spain,
Turkey,
UK,
USA).
First,
show
that
political
interaction
networks
polarized
on
Twitter.
Second,
reveal
out-group
interactions,
defined
by
network,
more
toxic
than
in-group
meaning
aligned.
Third,
interactions
receive
lower
engagement
interactions.
Finally,
right
reference
reliability
media
left,
between
politically
engaged
accounts
rarely
reciprocated.
These
results
hold
represent
first
step
towards
unified
polarization.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Июль 8, 2024
Abstract
In
this
article,
we
present
the
findings
of
a
comprehensive
longitudinal
social
network
analysis
conducted
on
Twitter
across
four
consecutive
election
campaigns
in
Spain,
spanning
from
2015
to
2019.
Our
focus
is
discernible
trend
increasing
partisan
and
ideological
homogeneity
within
interpersonal
exchanges
media
platform,
alongside
high
levels
networking
efficiency
measured
through
average
retweeting.
This
diachronic
study
allows
us
observe
how
dynamics
party
competition
might
contribute
perpetuating
strengthening
homophily,
creating
‘epistemic
bubbles’
Twitter,
yet
showing
greater
resistance
transforming
them
into
‘partisan
echo-chambers.’
Specifically,
our
reveals
that
rise
new
radical
right-wing
(RRP),
Vox,
has
heightened
among
users
entire
spectrum.
However,
process
not
been
uniform.
While
aligned
with
mainstream
political
parties
consistently
share
content
reinforces
in-party
affinity,
resulting
highly
efficient
bubbles,’
emergence
RRP
given
distinct
group
associated
most
extreme
positions,
characterized
by
notable
proportion
out-partisan
hostility
content,
which
fostered
creation
low-efficient
'partisan
echo-chambers.'
