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. Emergency-Relief Coordination on Social Media: Automatically Matching Resource Requests and Offers. First Monday. 2014 ;19(1).
. Mining Behavior of Citizen Sensor Communities to Improve Cooperation with Organizational Actors. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 154. 
(6.65 MB)
(6.65 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.
. Framework for the Analysis of Coordination in Crisis Response. 2012. (792.41 KB)
(792.41 KB). 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). Mining Behavior of Citizen Sensor Communities to Improve Cooperation with Organizational Actors. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 154. (6.65 MB)
(6.65 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)
(2.21 MB). Gender-based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. First Monday. 2016 ;21(1-4).
. 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). 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). 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.
. Mining Behavior of Citizen Sensor Communities to Improve Cooperation with Organizational Actors. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 154. (6.65 MB)
(6.65 MB). 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). Gender-based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. First Monday. 2016 ;21(1-4).
. 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). 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). Gender-based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. First Monday. 2016 ;21(1-4).
. Gender-based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. First Monday. 2016 ;21(1-4).
. Gender-based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. First Monday. 2016 ;21(1-4).
. 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)
(2.21 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). Emergency-Relief Coordination on Social Media: Automatically Matching Resource Requests and Offers. First Monday. 2014 ;19(1).
. Emergency-Relief Coordination on Social Media: Automatically Matching Resource Requests and Offers. First Monday. 2014 ;19(1).
. Crisis Response Coordination in Online Communities. In NSF SOCS Symposium. 2013. (2.34 MB)
(2.34 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.
. 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). Framework for the Analysis of Coordination in Crisis Response. 2012. (792.41 KB)
(792.41 KB). 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). 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)
(2.21 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)
(2.21 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). 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.
. 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.
. 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)
(2.21 MB). 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). Finding Influential Authors in Brand-Page Communities. 2012. (369.22 KB)
(369.22 KB). 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: 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)
(2.21 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)
(2.21 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). 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). 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). 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.
. 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)
(2.21 MB). 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). Finding Influential Authors in Brand-Page Communities. 2012. (369.22 KB)
(369.22 KB). 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)