Library
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(6.65 MB). Prediction of User Engagement in Online Discussion Using Multi-faceted Features. Dayton: Wright State University; 2013 .
. Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. Dayton: Wright State University; 2015 . (955.68 KB)
(955.68 KB). Twitris 2.0 : Semantically Empowered System for Understanding Perceptions From Social Data. 2010. (408.89 KB)
(408.89 KB). Framework for the Analysis of Coordination in Crisis Response. 2012. (792.41 KB)
(792.41 KB). Finding Influential Authors in Brand-Page Communities. 2012. (369.22 KB)
(369.22 KB). What Kind of #Communication is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination. Computers in Human Behavior. 2013 ;29(6):2438-2447. (838.08 KB)
(838.08 KB). An Information Filtering and Management Model for Twitter Traffic to Assist Crises Response Coordination. Journal of Computer Supported Cooperative Work (Special Issue on Crisis Informatics and Collaboration). 2014 ;23(4):513-545. (1.08 MB)
(1.08 MB). Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination. Journal of Computer-Supported Cooperative Works (JCSCW). 2014 ;23(4-6):513-545.
. Gender-based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. First Monday. 2016 ;21(1-4).
. Emergency-Relief Coordination on Social Media: Automatically Matching Resource Requests and Offers. First Monday. 2014 ;19(1).
. Assisting Coordination during Crisis: A Domain Ontology Based Approach to Infer Resource Needs from Tweets. 2014 ACM Conference on Web Science. New York, NY: ACM; 2014. p. 297-298. (478.64 KB)
(478.64 KB). With Whom to Coordinate, Why and How in Ad-hoc Social Media Communities during Crisis Response. In 11th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2014). University Park, PA; 2014. (773.18 KB)
(773.18 KB). Understanding User-Community Engagement by Multi-faceted Features: A Case Study on Twitter. In SoME 2011 (Workshop on Social Media Engagement, in conjunction with WWW 2011). Hyderabad, India: 2011 workshop on Social Media Engagement (SoME); 2011. (259.29 KB)
(259.29 KB). On Understanding Divergence of Online Social Group Discussion. In 8th International AAAI Conference on Weblogs and Social Media (ICWSM 2014). University Park, PA; 2014. (317.78 KB)
(317.78 KB). Twitris v3: From Citizen Sensing to Analysis, Coordination and Action. In 7th International AAAI Conference on Weblogs and Social Media. Cambridge, Massachusetts: AAAI Publications; 2013. (440.24 KB)
(440.24 KB). A Qualitative Examination of Topical Tweet and Retweet Practices. In 4th Int'l AAAI Conference on Weblogs and Social Media (ICWSM); 2010. (487.06 KB)
(487.06 KB). Intent Classification of Short-Text on Social Media. In SocialCom 2015: 8th IEEE International Conference on Social Computing and Networking. Chengdu, China: IEEE; 2015. (485.79 KB)
(485.79 KB). Crisis Response Coordination in Online Communities. In NSF SOCS Symposium. 2013. (2.34 MB)
(2.34 MB). Crisis Mapping, Citizen Sensing and Social Media Analytics: Leveraging Citizen Roles for Crisis Response. In 7th International AAAI Conference on Weblogs and Social Media. Cambridge, MA; 2013.
. Constructing Synthetic Social Media Stimuli for an Emergency Preparedness Functional Exercise. In 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017). Albi, Occitanie Pyrénées-Méditerranée, France; 2017. (1.56 MB)
(1.56 MB). Twitris: A System for Collective Social Intelligence. In: . Encyclopedia of Social Network Analysis and Mining. 2nd ed. New York: Springer-Verlag New York; 2018. p. 1-23. (1.18 MB)
(1.18 MB). Twitris: A System for Collective Social Intelligence. In: . Encyclopedia of Social Network Analysis and Mining. 1st ed. New York: Springer-Verlag New York; 2014. p. 2240-2253. (2.21 MB)
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