E3S Web of Conferences,
Journal Year:
2023,
Volume and Issue:
456, P. 03001 - 03001
Published: Jan. 1, 2023
Network
analysis
has
emerged
as
a
powerful
research
approach,
breaking
down
disciplinary
barriers
to
examine
intricate
relationships
across
various
fields.
By
depicting
entities
nodes
and
edges,
this
method
constructs
networks
that
unveil
patterns
dynamics.
This
study
delves
into
the
fundamental
principles
of
network
analysis,
emphasizing
its
effectiveness
in
revealing
hidden
patterns,
pinpointing
influential
factors,
understanding
flow
information.
It
facilitates
examination
at
both
micro
macro
levels,
with
key
components
such
centrality
measures
clustering
algorithms
showcasing
adaptability.
Applications
span
from
comprehending
social
scrutinizing
technological
systems.
Despite
challenges
data
collection
ethical
considerations,
remains
valuable
tool,
offering
holistic
view
complex
In
conclusion,
advocates
continual
exploration
adoption
potential
uncover
concealed
relationships,
structures
crucial
for
advancing
knowledge.
AIP conference proceedings,
Journal Year:
2024,
Volume and Issue:
3033, P. 020003 - 020003
Published: Jan. 1, 2024
Sustainable
Development
Goal
Number
two
declares
that
one
of
the
main
tasks
in
world
is
fight
against
hunger.
This
includes
many
actions
and
activities
ensuring
food
security
improving
nutrition.
Promoting
sustainable
agricultural
development
a
top
priority.
One
prospective
fields
production
new
approaches
technologies
animal
husbandry.
Kazakhstan
pays
great
attention
to
focuses
on
agrotechnologies
sheep
breeding
works
increasing
number
sheep.
However,
due
global
warming,
climate
has
changed
dramatically,
which
led
drought,
rapid
drying
vegetation,
an
increase
various
infections,
including
pathogen
contagious
ecthyma.
The
purpose
this
article
evaluate
problems
related
ecthyma
level
penetration
epizootic
situation
region.
research
paper
presents
results
study
using
example
Kazakhstan,
as
well
state
other
countries.
principal
methods
used
collect
data
for
include
identifying
source
infection,
ELISA
test
system
developed
by
our
team
researchers
determine
antibodies
blood
serum
At
final
stage,
causative
agent
disease
was
identified
PCR
diagnostics.
AIP conference proceedings,
Journal Year:
2024,
Volume and Issue:
3033, P. 020002 - 020002
Published: Jan. 1, 2024
The
importance
of
innovation
production
is
indubitable
with
majority
businesses
considering
it.
However,
enterprises
face
challenges
in
adapting
processes
to
current
conditions.
Currently,
encounter
an
inclusive
economy
which
focuses
on
achieving
engagement,
growth,
sustainability,
stability,
and
equal
opportunities,
contributing
strengthening
total
well-being.
Accordingly,
while
developing
innovations,
must
consider
the
principles
economy.
research
aims
at
studying
problems
based
bibliometric
visualization
analysis.
A
analysis
supplemented
by
a
make
graphical
presentation.
Data
from
two
databases
were
used
for
analysis:
those
Scopus
Web
Science.
Summarized
tested
Endnote
publications
investigated
BibExcel.
Additionally,
19
highlighted
as
they
are
simultaneously
recorded
simultaneously.
results
study
supported
map
using
Pajek.
185
published
papers
studied
achieve
purpose
this
research.
provided
helped
some
valuable
insights.
First,
problem
relatively
new.
Publication
activity
started
grow
2014
reaching
its
peak
2021.
Second,
turns
out
be
global
it
was
scholars
Europe,
Asia,
North
South
America.
In
addition,
there
strong
cooperation
among
scientists
different
countries
affiliations.
Nevertheless,
authors
Africa
show
leading
positions.
Third,
connections
who
form
scientific
clusters
perform
co-authorships.
Fourth,
three
most
frequently
words
paper
titles
frequent
keywords
equal.
They
'inclusive',
'development',
'innovation'.
Fifth,
demonstrate
high
level
co-occurrence.
Thus,
although
introducing
innovations
new
process,
already
enough
work
implementation
successful.
AIP conference proceedings,
Journal Year:
2024,
Volume and Issue:
3033, P. 020020 - 020020
Published: Jan. 1, 2024
The
global
expansion
of
online
education
is
a
natural
process
in
developing
the
information
society.
purpose
this
research
to
study
factors
that
influence
stakeholders'
attitudes
towards
learning
and
their
willingness
buy
courses.
To
achieve
research,
there
was
carried
out
quantitative
analysis
results
survey
comprising
120
respondents
regarding
determine
demand
for
courses,
taking
into
account
user
experience
during
COVID-19
pandemic.
paper
shows
quarantine
pandemic
social
factor
which
led
significant
improvement
attitude
education.
Also,
inductive
respondents'
answers
showed
these
are
students,
self-employed
employees
age
group
from
25
45
years
old
with
sufficient
income,
motivation
ability
who
more
inclined
Most
students
prefer
short-term
courses
suit
income
goals.
self-employed,
being
demanding
outcomes,
long-term
expensive
did
not
reveal
differences
aspects
by
gender.
These
consistent
statistical
on
topic
"Would
you
be
willing
pay
an
course
obtain
business-related
knowledge?"
held
early
2020
(at
start
pandemic).
can
used
as
informational
analytical
base
evaluating
trends
development
AIP conference proceedings,
Journal Year:
2024,
Volume and Issue:
3033, P. 020023 - 020023
Published: Jan. 1, 2024
The
study
is
devoted
to
analysing
the
impact
of
greenwashing
level
on
process
forming
a
country's
brand
in
context
implementing
Sustainable
Development
Goals.
As
part
research,
comparative
analysis
search
queries
was
conducted
using
Google
Trends
toolkit.
A
bibliometric
also
carried
out
based
data
from
scientometric
databases
Scholar,
Scopus
and
Web
Science.
visualization
map
citations
evolution
keywords
built
VOSviewer
software.
According
results
study,
strong
connection
between
studied
terms
relevance
further
research
this
area
revealed.
E3S Web of Conferences,
Journal Year:
2023,
Volume and Issue:
456, P. 03001 - 03001
Published: Jan. 1, 2023
Network
analysis
has
emerged
as
a
powerful
research
approach,
breaking
down
disciplinary
barriers
to
examine
intricate
relationships
across
various
fields.
By
depicting
entities
nodes
and
edges,
this
method
constructs
networks
that
unveil
patterns
dynamics.
This
study
delves
into
the
fundamental
principles
of
network
analysis,
emphasizing
its
effectiveness
in
revealing
hidden
patterns,
pinpointing
influential
factors,
understanding
flow
information.
It
facilitates
examination
at
both
micro
macro
levels,
with
key
components
such
centrality
measures
clustering
algorithms
showcasing
adaptability.
Applications
span
from
comprehending
social
scrutinizing
technological
systems.
Despite
challenges
data
collection
ethical
considerations,
remains
valuable
tool,
offering
holistic
view
complex
In
conclusion,
advocates
continual
exploration
adoption
potential
uncover
concealed
relationships,
structures
crucial
for
advancing
knowledge.
