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Stacy Blasiola

Datos Biográficos

ID2525183
NOMBREStacy Blasiola
NOMBRESStacy
APELLIDOBlasiola
FIRMABLASIOLA S
AFILIACIONESUniversity of Illinois at Chicago, Chicago, IL, USA
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS10
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2014
AÑO MÁS RECIENTE DE PUBLICACIÓN2014
ÍNDICE H1
  • Predicting Opinion Leaders in Twitter Activism Networks

    Open Access•Weiai Wayne Xu, Yoonmo Sang et al.•ARTICLE•American Behavioral Scientist•2014•Citada por: 10•Referencias: 36

    This study employs content and network analysis techniques to explore the predictors of opinion leadership in a political activism network on Twitter. The results demonstrate the feasibility of using user-generated content to measure user characteristics. The characteristics were analyzed to predict users' performance in the network. According to the results, Twitter users with higher connectivity and issue involvement are better at influencing i…

  • Predicting Opinion Leaders in Twitter Activism Networks

    Open Access•Weiai Wayne Xu, Yoonmo Sang et al.•ARTICLE•American Behavioral Scientist•2014•Citada por: 10•Referencias: 36

    This study employs content and network analysis techniques to explore the predictors of opinion leadership in a political activism network on Twitter. The results demonstrate the feasibility of using user-generated content to measure user characteristics. The characteristics were analyzed to predict users' performance in the network. According to the results, Twitter users with higher connectivity and issue involvement are better at influencing i…

  • Predicting Opinion Leaders in Twitter Activism Networks

    Open Access•Weiai Wayne Xu, Yoonmo Sang et al.•ARTICLE•American Behavioral Scientist•2014•Citada por: 10•Referencias: 36

    This study employs content and network analysis techniques to explore the predictors of opinion leadership in a political activism network on Twitter. The results demonstrate the feasibility of using user-generated content to measure user characteristics. The characteristics were analyzed to predict users' performance in the network. According to the results, Twitter users with higher connectivity and issue involvement are better at influencing i…

Betweenness centrality (1 obras) · Centrality (1 obras) · Computer Science (1 obras) · Data mining (1 obras) · Data science (1 obras) · Event (particle physics) (1 obras) · Internet privacy (1 obras) · Measure (data warehouse) (1 obras) · Opinion Dynamics and Social Influence (1 obras) · Opinion leadership (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae