University of Southern California


ISI Site Signature




Jeonhyung Kang
 
 
  2013 (6)
Scalable Mining of Social Data using Stochastic Gradient Fisher Scoring. Kang, J.; and Lerman, K. In CIKM workshop on Data-driven User Behavioral Modelling and Mining from Social Media, 2013.
Scalable Mining of Social Data using Stochastic Gradient Fisher Scoring [pdf]Paper   Scalable Mining of Social Data using Stochastic Gradient Fisher Scoring [pdf]Presentation   bibtex   14 downloads
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media. Kang, J.; and Lerman, K. In The Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013.
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media [pdf]Paper   LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media [pdf]Presentation   bibtex   31 downloads
Structural and cognitive bottlenecks to information access in social networks. Kang, J.; and Lerman, K. In The ACM Hypertext and Social Media conference, 2013.
Structural and cognitive bottlenecks to information access in social networks [pdf]Presentation   Structural and cognitive bottlenecks to information access in social networks [pdf]Paper   bibtex   13 downloads
Analyzing the Quality of Information Solicited from Targeted Strangers on Social Media. Nichols, J.; Kang, J.; Zhou, M. X.; Yang, H.; and Sun, X. In CSCW, 2013.
Analyzing the Quality of Information Solicited from Targeted Strangers on Social Media [pdf]Paper   bibtex   2 downloads
Limited Attention and Centrality in Social Networks. Lerman, K.; Jain, P.; Ghosh, R.; Kang, J.; and Kumaraguru, P. In Proceedings of International Conference on Social Intelligence and Technology (SOCIETY2013), 2013.
bibtex   10 downloads
LA-LDA: A Limited Attention Model for Social Recommendation. Kang, J.; Lerman, K.; and Getoor, L. In International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP), 2013. (Terry Lyons Memorial Award for Best Student Paper)
LA-LDA: A Limited Attention Model for Social Recommendation [link]Paper   LA-LDA: A Limited Attention Model for Social Recommendation [ppt]Presentation   bibtex   19 downloads
  2012 (5)
Using Lists to Measure Homophily on Twitter. Kang, J.; and Lerman, K. In AAAI workshop on Intelligent Techniques for Web Personalization and Recommendation, July 2012.
Using Lists to Measure Homophily on Twitter [pdf]Paper   bibtex   5 downloads
Using Proximity to Predict Activity in Social Networks. Lerman, K.; Intagorn, S.; Kang, J.; and Ghosh, R. In Proceedings of 21st International World Wide Web Conference (poster), December 2012.
Using Proximity to Predict Activity in Social Networks [link]Paper   bibtex   4 downloads
Characterising Emergent Semantics in Twitter Lists. García-Silva, A.; Kang, J.; Lerman, K.; and Corcho, O. In Proceedings of Extended Semantic Web Conference, 2012.
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Transfer Topic Modeling with Ease and Scalability. Kang, J.; Ma, J.; and Liu, Y. In SIAM Conference on Data Mining (SDM'12), 2012.
Transfer Topic Modeling with Ease and Scalability [pdf]Paper   bibtex   5 downloads
Asking questions of targeted strangers on social networks. Nichols, J.; and Kang, J. In CSCW, pages 999-1002, 2012.
Asking questions of targeted strangers on social networks [link]Link   Asking questions of targeted strangers on social networks [link]Paper   bibtex   2 downloads
  2011 (6)
Leveraging User Diversity to Harvest Knowledge on the Social Web. Kang, J.; and Lerman, K. In SocialCom/PASSAT, pages 215-222, 2011.
Leveraging User Diversity to Harvest Knowledge on the Social Web [link]Link   bibtex   3 downloads
Analyzing Answers in Threaded Discussions Using a Role-Based Information Network. Kang, J.; and Kim, J. In SocialCom/PASSAT, pages 111-117, 2011.
Analyzing Answers in Threaded Discussions Using a Role-Based Information Network [link]Link   bibtex   1 download
A STATE TRANSITION MODEL FOR STUDENT ONLINE DISCUSSIONS. SEO, S.; Kang, J.; DRUMMOND, J.; and KIM, J. Proceedings of the KDD Workshop on Knowledge Discovery in Educational Data, 2011.. 2011.
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Workflow-based assessment of student online activities with topic and dialogue role classification. Ma, J.; Kang, J.; Shaw, E.; and Kim, J. Artificial Intelligence in Education,187–195. 2011.
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Using graphical models to classify dialogue transition in online Q&A discussions. Seo, S.; Kang, J.; Drummond, J.; and Kim, J. Artificial Intelligence in Education,550–553. 2011.
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Classification techniques for assessing student collaboration in shared wiki spaces. Ganapathy, C.; Kang, J.; Shaw, E.; and Kim, J. Artificial Intelligence in Education,456–458. 2011.
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  2010 (5)
Modeling message roles and influence in Q&A forums. Kang, J.; and Kim, J. In Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media, pages 11–12, 2010. Association for Computational Linguistics
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A network analysis of student groups in threaded discussions. Kang, J.; Kim, J.; and Shaw, E. Intelligent Tutoring Systems,359–361. 2010.
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Integrating Specialist and Folk Knowledge with Affinity Propagation. Kang, J.; and Lerman, K. In In Proceedings of NIPS workshop on Machine Learning for Social Computing, December 2010.
Integrating Specialist and Folk Knowledge with Affinity Propagation [link]Paper   Integrating Specialist and Folk Knowledge with Affinity Propagation [link]Presentation   bibtex   1 download
Analyzing Microblogs with Affinity Propagation. Kang, J.; Lerman, K.; and , P. A. In Proceedings of KDD workshop on Social Media Analytic, July 2010.
Analyzing Microblogs with Affinity Propagation [pdf]Paper   bibtex
Centrality Metric for Dynamic Network Analysis. Lerman, K.; Ghosh, R.; and Kang, J. In Proceedings of KDD workshop on Mining and Learning with Graphs (MLG), July 2010.
Centrality Metric for Dynamic Network Analysis [pdf]Paper   bibtex   10 downloads
  2009 (1)
Profiling Student Groups in Online Discussion with Network Analysis. Kang, J.; Kim, J.; and Shaw, E. Proc. of K-CAP wsp on Analyzing Social Media. 2009.
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