Wahid, J.A.;                     Shi, L.;                     Gao, Y.;                     Yang, B.;                     Tao, Y.;                     Wei, L.;                     Hussain, S.    
        Identifying and Characterizing the Propagation Scale of COVID-19 Situational Information on Twitter: A Hybrid Text Analytic Approach. Appl. Sci. 2021, 11, 6526.
    https://doi.org/10.3390/app11146526
    AMA Style
    
                                Wahid JA,                                 Shi L,                                 Gao Y,                                 Yang B,                                 Tao Y,                                 Wei L,                                 Hussain S.        
                Identifying and Characterizing the Propagation Scale of COVID-19 Situational Information on Twitter: A Hybrid Text Analytic Approach. Applied Sciences. 2021; 11(14):6526.
        https://doi.org/10.3390/app11146526
    
    Chicago/Turabian Style
    
                                Wahid, Junaid Abdul,                                 Lei Shi,                                 Yufei Gao,                                 Bei Yang,                                 Yongcai Tao,                                 Lin Wei,                                 and Shabir Hussain.        
                2021. "Identifying and Characterizing the Propagation Scale of COVID-19 Situational Information on Twitter: A Hybrid Text Analytic Approach" Applied Sciences 11, no. 14: 6526.
        https://doi.org/10.3390/app11146526
    
    APA Style
    
                                Wahid, J. A.,                                 Shi, L.,                                 Gao, Y.,                                 Yang, B.,                                 Tao, Y.,                                 Wei, L.,                                 & Hussain, S.        
        
        (2021). Identifying and Characterizing the Propagation Scale of COVID-19 Situational Information on Twitter: A Hybrid Text Analytic Approach. Applied Sciences, 11(14), 6526.
        https://doi.org/10.3390/app11146526