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  1. Article: Social media-based demographic and sentiment analysis for disaster responses.

    Yum, Seungil

    Journal of emergency management (Weston, Mass.)

    2024  Volume 22, Issue 1, Page(s) 89–99

    Abstract: This study explores disaster responses across the United States for Winter Storm Jaxon in 2018 by utilizing demographic and sentiment analysis for Twitter®. This study finds that people show highly fluctuated responses across the study periods and ... ...

    Abstract This study explores disaster responses across the United States for Winter Storm Jaxon in 2018 by utilizing demographic and sentiment analysis for Twitter®. This study finds that people show highly fluctuated responses across the study periods and highest natural sentiment, followed by positive sentiment and negative sentiment. Also, some sociodemographic and Twitter variables, such as gender and long text, are strongly related to human sentiment, whereas other sociodemographic and Twitter variables, such as age and the higher number of retweets, are not associated with it. The results show that governments and disaster experts should consider a multitude of sociodemographic and Twitter variables to understand human responses and sentiment during natural disaster events.
    MeSH term(s) Humans ; United States ; Social Media ; Sentiment Analysis ; Disasters ; Natural Disasters ; Demography
    Language English
    Publishing date 2024-03-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2799989-0
    ISSN 1543-5865
    ISSN 1543-5865
    DOI 10.5055/jem.0781
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The COVID-19 Response in North America.

    Yum, Seungil

    Disaster medicine and public health preparedness

    2022  Volume 17, Page(s) e320

    Abstract: In our Information Technology (IT) based societies, social media plays an important role in communications and social networks for COVID-19. This study explores social responses for COVID-19 in North America, which is the most severe continent affected ... ...

    Abstract In our Information Technology (IT) based societies, social media plays an important role in communications and social networks for COVID-19. This study explores social responses for COVID-19 in North America, which is the most severe continent affected by the COVID-19 pandemic. This study employs social network analysis for Twitter among the US, Canada, and Mexico. This study finds that the 3 countries show different characteristics of social networks for COVID-19. For example, the Prime Minister plays the second most important role in the Canadian networks, whereas the Presidents play the most significant role in them, in the US, and Mexico. WHO shows a pivotal effect on social networks of COVID-19 in Canada and the US, whereas it does not affect them in Mexico. Canadians are interested in COVID-19 apps, the American people criticize the president and administration as incompetent in terms of COVID-19, and the Mexican people search for COVID-19 cases and the pandemic in Mexico. This study shows that governments and disease experts should understand social networks and communications of social network services, to develop effective COVID-19 policies according to the characteristics of their country.
    MeSH term(s) Humans ; COVID-19/epidemiology ; Pandemics ; Canada/epidemiology ; North America/epidemiology ; Mexico/epidemiology ; Social Media
    Language English
    Publishing date 2022-12-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2022.290
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Information networks for COVID-19 according to race/ethnicity.

    Yum, Seungil

    Information technology & management

    2022  Volume 24, Issue 2, Page(s) 147–157

    Abstract: This study highlights information networks for COVID-19 according to race/ethnicity by employing social network analysis for Twitter. First, this study finds that racial/ethnic groups are differently dependent on racial/ethnic key players. Whites and ... ...

    Abstract This study highlights information networks for COVID-19 according to race/ethnicity by employing social network analysis for Twitter. First, this study finds that racial/ethnic groups are differently dependent on racial/ethnic key players. Whites and Asians show the highest number of racial/ethnic key players, Hispanics have a racial/ethnic key player, and blacks have no racial/ethnic key player in the top 20. Second, racial/ethnic groups show different characteristics of information resources for COVID-19. Whites have the highest key player group in news media, politicians, and researchers, and blacks show the highest key player group in news media. Asians demonstrate the highest key player group in news media, and Hispanics exhibit institutes as the highest key player group. Lastly, there are some differences in group communications across the race/ethnicity. Whites and blacks show open communication systems, whereas Asians and Hispanics reveal closed communication systems. Therefore, governments should understand the characteristics of communications for COVID-19 according to the race/ethnicity.
    Language English
    Publishing date 2022-04-23
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2035174-4
    ISSN 1573-7667 ; 1385-951X
    ISSN (online) 1573-7667
    ISSN 1385-951X
    DOI 10.1007/s10799-022-00360-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: How do people get information for COVID-19 according to age groups?

    Yum, Seungil

    The International journal of health planning and management

    2022  Volume 37, Issue 5, Page(s) 2752–2766

    Abstract: This study highlights how people get important information on COVID-19 according to age groups by employing social network analysis for Twitter. First, people have different key players according to the age groups. For example, while universities and ... ...

    Abstract This study highlights how people get important information on COVID-19 according to age groups by employing social network analysis for Twitter. First, people have different key players according to the age groups. For example, while universities and journals play a crucial role in the adults' networks, news media have a significant impact on the elderly's networks. Second, people have different characteristics of social network groups according to age. For example, people belong to small groups, and barely communicate with others across the groups in the teens' networks, whereas people in each group have strong communication networks with other groups in the elderly's networks. Third, this study shows that people utilise different domains to share COVID-19 information according to age. For example, while twitter.com ranks first in the children, teens, and elderly's networks, cnn.com places first in the adults' networks.
    MeSH term(s) Adolescent ; Adult ; Aged ; COVID-19 ; Child ; Humans ; Mass Media ; Social Media
    Language English
    Publishing date 2022-05-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 632786-2
    ISSN 1099-1751 ; 0749-6753
    ISSN (online) 1099-1751
    ISSN 0749-6753
    DOI 10.1002/hpm.3500
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 2897: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Informatics for COVID-19 in New York and California.

    Yum, Seungil

    Disaster medicine and public health preparedness

    2021  Volume 16, Issue 5, Page(s) 1775–1779

    Abstract: Objective: This study explores how social networks for coronavirus disease (COVID-19) are differentiated by regions.: Methods: This study employs a social network analysis for Twitter in New York and California.: Results: National key players play ...

    Abstract Objective: This study explores how social networks for coronavirus disease (COVID-19) are differentiated by regions.
    Methods: This study employs a social network analysis for Twitter in New York and California.
    Results: National key players play an important role in New York, whereas regional key players exert a significant impact on California. Some key players, such as the US President, play an essential role in both New York and California. Hispanic key players play a crucial role in California. Each group is more likely to show communication networks within groups in New York, whereas it is more apt to exhibit communication networks across groups in California. Government players play a different role in social networks according to regions.
    Conclusions: Governments should understand how social networks for COVID-19 are differentiated by regions to control the ongoing pandemic effectively.
    MeSH term(s) Humans ; COVID-19/epidemiology ; SARS-CoV-2 ; New York/epidemiology ; Social Media ; California/epidemiology ; Informatics
    Language English
    Publishing date 2021-02-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2021.53
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Social Network Analysis for Coronavirus (COVID-19) in the United States.

    Yum, Seungil

    Social science quarterly

    2020  Volume 101, Issue 4, Page(s) 1642–1647

    Abstract: Objectives: This study explores how public key players play an important role in social networks for coronavirus (COVID-19).: Methods: This study employs social network analyses based on 2,864 Twitter users and 2,775 communications of Twitter.: ... ...

    Abstract Objectives: This study explores how public key players play an important role in social networks for coronavirus (COVID-19).
    Methods: This study employs social network analyses based on 2,864 Twitter users and 2,775 communications of Twitter.
    Results: This study finds that President Trump plays the most important role in social networks among the top 20 key players for both in-degree centrality and content in tweets. Second, Donald Trump and Barak Obama show the opposite result for the in-degree centrality and follower analysis. The result shows that the topic-based networks and the person-based networks play a different role in social networks. This study demonstrates that the presidents, the World Health Organization (WHO) and its regional offices, the Centers for Disease Control, and news channels play a crucial role in the news of COVID-19 for people. Key players, such as Donald Trump, Barack Obama, and BBC, are located in the central networks. In contrast, U.S. news channels and WHO and its regional offices have independent channels.
    Conclusions: Governments should understand the characteristics of public key players to provide information for COVID-19 in a timely manner.
    Keywords covid19
    Language English
    Publishing date 2020-05-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2130790-8
    ISSN 1540-6237 ; 0038-4941
    ISSN (online) 1540-6237
    ISSN 0038-4941
    DOI 10.1111/ssqu.12808
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Social Network Analysis for Coronavirus (COVID‐19) in the United States

    Yum, Seungil

    Social Science Quarterly

    2020  Volume 101, Issue 4, Page(s) 1642–1647

    Keywords General Social Sciences ; covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2130790-8
    ISSN 1540-6237 ; 0038-4941
    ISSN (online) 1540-6237
    ISSN 0038-4941
    DOI 10.1111/ssqu.12808
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: The Cluster Characteristics of Biotechnology Industries and Their Effect on Regional Innovation Systems

    Yum, Seungil

    Industrial biotechnology. 2021 Apr. 01, v. 17, no. 2

    2021  

    Abstract: This study proposes a new Cluster Quotient (CQ) to highlight the cluster characteristics and their effect on regional innovation systems based on all US Metropolitan Statistical Areas (MSAs) in 2014. This study finds that San Diego, CA plays an important ...

    Abstract This study proposes a new Cluster Quotient (CQ) to highlight the cluster characteristics and their effect on regional innovation systems based on all US Metropolitan Statistical Areas (MSAs) in 2014. This study finds that San Diego, CA plays an important role in biotechnology industries, and the CQ index would be a better method to measure the degree of clusters than the Location Quotient index (LQ) given that the CQ method is based on the definition of a cluster and strongly correlated with high industry quotient MSAs. The study also highlights that biotechnology clusters have a positive impact on patents. An increase of 1% of the CQ generates an increase of 0.25% of patents. The result highlights that biotechnology clusters play an important role in regional innovation systems and need to be seriously taken into consideration in the field of urban planning.
    Keywords biotechnology ; industry
    Language English
    Dates of publication 2021-0401
    Size p. 79-91.
    Publishing place Mary Ann Liebert, Inc.
    Document type Article
    Note NAL-AP-2-clean
    ISSN 1931-8421
    DOI 10.1089/ind.2020.0026
    Database NAL-Catalogue (AGRICOLA)

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  9. Article: Social Network Analysis for Coronavirus (COVID-19) in the United States

    Yum, Seungil

    Social science quarterly

    Abstract: Objectives: This study explores how public key players play an important role in social networks for coronavirus (COVID-19). Methods: This study employs social network analyses based on 2,864 Twitter users and 2,775 communications of Twitter. Results: ... ...

    Abstract Objectives: This study explores how public key players play an important role in social networks for coronavirus (COVID-19). Methods: This study employs social network analyses based on 2,864 Twitter users and 2,775 communications of Twitter. Results: This study finds that President Trump plays the most important role in social networks among the top 20 key players for both in-degree centrality and content in tweets. Second, Donald Trump and Barak Obama show the opposite result for the in-degree centrality and follower analysis. The result shows that the topic-based networks and the person-based networks play a different role in social networks. This study demonstrates that the presidents, the World Health Organization (WHO) and its regional offices, the Centers for Disease Control, and news channels play a crucial role in the news of COVID-19 for people. Key players, such as Donald Trump, Barack Obama, and BBC, are located in the central networks. In contrast, U.S. news channels and WHO and its regional offices have independent channels. Conclusions: Governments should understand the characteristics of public key players to provide information for COVID-19 in a timely manner.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #401830
    Database COVID19

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