Library
. EmojiNet: An Open Service and API for Emoji Sense Discovery. In 11th International AAAI Conference on Web and Social Media (ICWSM 2017). Montreal, Canada; 2017. 
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(5.69 MB). A Semantics-Based Measure of Emoji Similarity. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017. (2.34 MB)
(2.34 MB). A soft computing approach for benign and malicious web robot detection. Expert Systems with Applications [Internet]. ELSEVIER; 2017 ;87:129 - 140. http://www.sciencedirect.com/science/article/pii/S0957417417304116 (1.86 MB)
(1.86 MB). EmojiNet: A Machine Readable Emoji Sense Inventory. Wright Brother's Day, Wright State University. Dayton, Ohio, USA; 2016 . (66.92 KB) (815.49 KB)
(66.92 KB) (815.49 KB). EmojiNet: Building a Machine Readable Sense Inventory for Emoji. . 8th International Conference on Social Informatics (SocInfo 2016). Bellevue, WA: Springer International Publishing; 2016. p. 527-541. (712.1 KB)
(712.1 KB). Finding Street Gang Members on Twitter. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016). San Francisco, CA, USA; 2016. (2.02 MB)
(2.02 MB). Signals Revealing Street Gang Members on Twitter. In Workshop on Computational Approaches to Social Modeling (ChASM 2016) co-located with 8th International Conference on Social Informatics (SocInfo 2016). Bellevue, WA, USA; 2016. (939.06 KB)
(939.06 KB). Word Embeddings to Enhance Twitter Gang Member Profile Identification. In IJCAI Workshop on Semantic Machine Learning (SML 2016). New York City, NY: CEUR-WS; 2016. (265.83 KB)
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(265.83 KB) (6.23 MB). Analyzing the Social Media Footprint of Street Gangs. In 2015 IEEE International Conference on Intelligence and Security Informatics (ISI). Baltimore, MD: IEEE; 2015. (1.26 MB)
(1.26 MB). Discovering Perceptions in Online Social Media: A Probabilistic Approach. International Journal of Software Engineering and Knowledge Engineering. 2015 ;24(9):1273-1300. (22.64 MB)
(22.64 MB). On the Discovery of Social Roles in Large Scale Social Systems. Social Network Analysis and Mining. 2015 ;5(49). (1.55 MB)
(1.55 MB). Entity Recommendations Using Hierarchical Knowledge Bases. Extended Semantic Web Conference 2015 (ESWC 2015). Portoroz, Slovenia; 2015. (355.5 KB)
(355.5 KB). Propagation Models and Analysis for Mobile Phone Data Analytics. In: . Propagation Phenomena in Real World Networks. Switzerland: Springer International Publishing; 2015. p. 335-376. (544 KB)
(544 KB). Request Type Prediction for Web Robot and Internet of Things Traffic. 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). Miami, FL: IEEE; 2015. p. 995 - 1000.
. Social Media Enabled Human Sensing for Smart Cities. AI Communications. 2015 ;29. (16.71 MB)
(16.71 MB). Stay Awhile and Listen: User Interactions in a Crowdsourced Platform Offering Emotional Support. . IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2015). Paris, France: ACM; 2015. p. 667-674. (3.5 MB)
(3.5 MB). Understanding Social Effects in Online Networks. In International Symposium on Social Computing and Semantic Data Mining. Anaheim, California; 2015. (209.63 KB)
(209.63 KB). Where do we Develop? Discovering Regions for Urban Investment in Senegal. In NetMob 2015. Cambridge, MA; 2015. (3.5 MB)
(3.5 MB). Accurate Local Estimation of Geo-Coordinates for Social Media Posts. 26th International Conference on Software Engineering and Knowledge Engineering (SEKE 2014). Vancouver, Canada; 2014. p. 642-647. (259.07 KB)
(259.07 KB). An Analytic Model of Airport Security Checkpoint Screening Times. In Transportation Research Board's 93rd Annual Meeting. 2014.
. Data Analytics for Power Utility Storm Planning. 6th International Conference on Knowledge Discovery and Information Retrieval. Rome, Italy; 2014. (240.43 KB)
(240.43 KB). Triad-based Role Discovery for Large Social Systems. In: . Social Informatics: SocInfo 2014 International Workshops. 1st ed. Springer International Publishing; 2014. p. 130-143. (863.5 KB)
(863.5 KB). Understanding Common Perceptions from Online Social Media. In International Conference of Software Engineering and Knowledge Engineering. Vancouver,CA; 2014. (7.79 MB)
(7.79 MB). Prediction of Subscriber Churn Using Social Network Analysis. Bell Laboratories Technical Journal. 2013 ;17(4):63-75. (530.63 KB)
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