4,916 research outputs found
Can Synergy in Triple-Helix Relations be Quantified? A Review of the Development of the Triple-Helix Indicator
Triple-Helix arrangements of bi- and trilateral relations can be considered
as adaptive eco-systems. During the last decade, we have further developed a
Triple-Helix indicator of synergy as reduction of uncertainty in niches that
can be shaped among three or more distributions. Reduction of uncertainty can
be generated in correlations among distributions of relations, but this
(next-order) effect can be counterbalanced by uncertainty generated in the
relations. We first explain the indicator, and then review possible results
when this indicator is applied to (i) co-author networks of academic,
industrial, and governmental authors and (ii) synergies in the distributions of
firms over geographical addresses, technological classes, and industrial-size
classes for a number of nations. Co-variation is then considered as a measure
of relationship. The balance between globalizing and localizing dynamics can be
quantified. Too much synergy locally can also be considered as lock-in.
Tendencies are different for the globalizing knowledge dynamics versus locally
retaining wealth from knowledge in industrial innovations
Upotreba YouTube videozapisa o Sjevernoj Koreji u Južnoj Koreji: studija slučaja o kanalu VideoMug
South Koreans have been producing social media content
that sharply divided between conservative and progressive
perspectives. This study analyzes a YouTube video clip
during a South-North summit and then expands its scope to
include the entire set of North Korea-related videos. The
video was accused on the presidential petition website of
violating South Korea\u27s National Security Law. Despite
sparking a debate on the suitability of the video\u27s content
among YouTube viewers, the petition did not attract much
attention from the general public. Using this clip as a basis,
we examine how YouTubers show interest in, reactions to,
and engagement with North Korea-related media content
using several network metrics and visualizations. Our
analysis includes extensive background on South Korea\u27s
information policy toward North Korea. Based on our
findings, we recommend that the South Korean government
use cognitive and communication-oriented profiling-based
input when formulating their information policy toward North
Korea.Južnokorejci proizvode sadržaje na društvenim mrežama koji
su oštro podijelili korisnike konzervativnih i progresivnih
pogleda. Ova studija analizira videoisječak na YouTubeu
tijekom sastanka na vrhu Juga i Sjevera, a zatim proširuje svoj
doseg kako bi uključila niz videozapisa koji se odnose na
Sjevernu Koreju. Video je na predsjedničkoj web stranici, koja
objavljuje peticije optuženih za kršenje južnokorejskoga Zakona o nacionalnoj sigurnosti. Unatoč tome što je izazvala
raspravu o prikladnosti sadržaja videa među gledateljima
YouTubea, peticija nije privukla veliku pozornost šire javnosti.
Na temelju ovog videoisječka ispitujemo mrežnim mjerenjima
i vizualizacijama kako korisnici YouTubea iskazuju svoj interes
i angažman te kakve su im reakcije na medijske sadržaje o
Sjevernoj Koreji. Naša analiza uključuje opsežnu pozadinu
informacijske politike Južne Koreje prema Sjevernoj Koreji.
Oslanjajući se na dobivene nalaze, preporučujemo južnokorejskoj vladi da se posluži spoznajama koje se temelje na
kognitivnom i komunikacijski orijentiranom profiliranju u
stvaranju njihove informacijske politike prema Sjevernoj Koreji
Analytical framework for evaluating digital diplomacy using network analysis and topic modeling: Comparing South Korea and Japan
This study introduces a data-driven approach for assessing the practices and effectiveness of digital diplomacy, using the cases of South Korea and Japan. The study compared the networking power of public diplomacy organizations based on social media use, engagement with the public, interaction patterns among the public, and public perceptions and attitudes toward organizations. This was accomplished through a three-step method employing social network analysis and topic modeling. The network analysis found that the Korean public diplomacy organization generated a larger, more loosely connected, and decentralized comment network than the Japanese organization, which presented a “small-world” connectivity pattern with highly interconnected actors. The findings also suggest that, compared to the Japanese organization, the Korean organization was successful in not only enhancing its soft power through social media but also building international networks among the foreign public
Kako su aktivnosti na Twitteru povezane s ponašanjem najpoznatijih kriptovaluta? Dokazi iz analize društvenih mreža i analize sentimenta
Cryptocurrencies have embraced Twitter as a major channel of
communication. Employing social network analysis and
sentiment analysis, this study investigates the Twitter-mediated
communication behaviors among cryptocurrencies. This study
determines whether a significant association exists between
cryptocurrencies\u27 Twitter networks and their credit scores. Data
were drawn from the Twitter pages of several top
cryptocurrencies. The results indicate that reply–mention
networks had the densest structure, that the following–follower
network structure was correlated with the reply–mention
structure, and that the reply–mention and co–tweet networks
were positively correlated. The results also indicate that
cryptocurrencies\u27 active networking strategies affected their
credit scores and more importantly, that cryptocurrencies
frequently linked with fellow currencies tended to have high
credit scores.Kriptovalute su prigrlile Twitter kao glavni kanal komunikacije
kojim prenose novosti i grade odnose s (potencijalnim)
ulagačima i kupcima. Služeći se analizom društvenih mreža i
analizom sentimenta, rad istražuje Twitterom posredovano
komunikacijsko ponašanje kriptovaluta proučavanjem
učestalosti tvitova te njihovih struktura: following-follower,
reply-mention i co-tweet. Ocjene tržišta često znatno utječu i
na proizvođače (tj. programere) i na potrošače (tj. vlasnike
kriptovaluta). Stoga ovo istraživanje utvrđuje postoji li
povezanost između Twitterovih mreža kriptovaluta i njihovih
kreditnih ocjena. Podaci su prikupljeni na Twitterovim
stranicama niza najpoznatijih kriptovaluta. Rezultati
pokazuju da su reply-mention mreže imale najgušću
strukturu, da je mrežna struktura following-follower
povezana sa strukturom reply-mention i da su reply-mention
i co-tweet mreže pozitivno povezane. Rezultati također
upućuju na to da su aktivne mrežne strategije kriptovaluta
utjecale na njihove kreditne ocjene i, što je još važnije, da
kriptovalute koje se češće povezuju sa srodnim valutama
obično imaju visoke kreditne ocjene
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