Background SARS-CoV-2 (severe acute respiratory coronavirus 2) was spreading rapidly in South Korea at the end of February 2020 following its initial outbreak in China, making Korea the new center of global attention. The role of social media amid the current coronavirus disease (COVID-19) pandemic has often been criticized, but little systematic research has been conducted on this issue. Social media functions as a convenient source of information in pandemic situations. Objective Few infodemiology studies have applied network analysis in conjunction with content analysis. This study investigates information transmission networks and news-sharing behaviors regarding COVID-19 on Twitter in Korea. The real time aggregation of social media data can serve as a starting point for designing strategic messages for health campaigns and establishing an effective communication system during this outbreak. Methods Korean COVID-19-related Twitter data were collected on February 29, 2020. Our final sample comprised of 43,832 users and 78,233 relationships on Twitter. We generated four networks in terms of key issues regarding COVID-19 in Korea. This study comparatively investigates how COVID-19-related issues have circulated on Twitter through network analysis. Next, we classified top news channels shared via tweets. Lastly, we conducted a content analysis of news frames used in the top-shared sources. Results The network analysis suggests that the spread of information was faster in the Coronavirus network than in the other networks (Corona19, Shincheon, and Daegu). People who used the word “Coronavirus” communicated more frequently with each other. The spread of information was faster, and the diameter value was lower than for those who used other terms. Many of the news items highlighted the positive roles being played by individuals and groups, directing readers’ attention to the crisis. Ethical issues such as deviant behavior among the population and an entertainment frame highlighting celebrity donations also emerged often. There was a significant difference in the use of nonportal (n=14) and portal news (n=26) sites between the four network types. The news frames used in the top sources were similar across the networks (P=.89, 95% CI 0.004-0.006). Tweets containing medically framed news articles (mean 7.571, SD 1.988) were found to be more popular than tweets that included news articles adopting nonmedical frames (mean 5.060, SD 2.904; N=40, P=.03, 95% CI 0.169-4.852). Conclusions Most of the popular news on Twitter had nonmedical frames. Nevertheless, the spillover effect of the news articles that delivered medical information about COVID-19 was greater than that of news with nonmedical frames. Social media network analytics cannot replace the work of public health officials; however, monitoring public conversations and media news that propagates rapidly can assist public health professionals in their complex and fast-paced decision-making processes.

We have recently witnessed the growth of hyperlink studies in the field of Internet research. Although investigations have been conducted across many disciplines and topics, their approaches can be largely divided into hyperlink network analysis (HNA) and Webometrics. This article is an extensive review of the two analytical methods, and a reflection on their application. HNA casts hyperlinks between Web sites (or Web pages) as social and communicational ties, applying standard techniques from Social Networks Analysis to this new data source. Webometrics has tended to apply much simpler techniques combined with a more in‐depth investigation into the validity of hypotheses about possible interpretations of the results. We conclude that hyperlinks are a highly promising but problematic new source of data that can be mined for previously hidden patterns of information, although much care must be taken in the collection of raw data and in the interpretation of the results. In particular, link creation is an unregulated phenomenon and so it would not be sensible to assume that the meaning of hyperlinks in any given context is evident, without a systematic study of the context of link creation, and of the relationship between link counts, among other measurements. Social Networks Analysis tools and techniques form an excellent resource for hyperlink analysis, but should only be used in conjunction with improved techniques for data collection, validation and interpretation.

Global collaboration continues to grow as a share of all scientific cooperation, measured as coauthorships of peer-reviewed, published papers. The percent of all scientific papers that are internationally coauthored has more than doubled in 20 years, and they account for all the growth in output among the scientifically advanced countries. Emerging countries, particularly China, have increased their participation in global science, in part by doubling their spending on R&D; they are increasingly likely to appear as partners on internationally coauthored scientific papers. Given the growth of connections at the international level, it is helpful to examine the phenomenon as a communications network and to consider the network as a new organization on the world stage that adds to and complements national systems. When examined as interconnections across the globe over two decades, a global network has grown denser but not more clustered, meaning there are many more connections but they are not grouping into exclusive ‘cliques’. This suggests that power relationships are not reproducing those of the political system. The network has features an open system, attracting productive scientists to participate in international projects. National governments could gain efficiencies and influence by developing policies and strategies designed to maximize network benefits—a model different from those designed for national systems.

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This study analyzes the configurations of communication relationships in Korea through face-to-face, email, instant messaging, mobile phone, and short message service media. Through a web survey, we asked respondents to identify (1) for each of the five media (2) up to five of their most frequent communication partners, (3) the partner's social role (including colleagues, family, friends), and (4) their own employment category. Individual-level and network-level analyses were used to compare variations in communication relationships and configurations of relationships among social roles overall, within each medium, and for different employment categories, and to identify configurations of relationships across media. IM, SMS, and mobile phone are distinctive media for students, mobile phone for homeworkers, and email for organizational workers. Moreover, mobile phones tend to be used in reinforcing strong social ties, and textbased CMC media tend to be used in expanding relationships with weak ties. Finally, face-to-face (FtF) seems to be a universal medium without significant differences across respondents' employment categories.