Yun Chi's Research: Social Networks

Analyze social networks as dynamic graphs. Study communities, their main topics, and their evolutions. Find special communities such as spam farms. Rank community members based on their influence. Make recommendation based on historic behavior. Answer questions such as:

How to extract meaningful communities based on links and contents?
How to detect main topics and their trends in the communities?
How to quantify, detect, and visualize the evolution of communities?
How to tell if a community member has large amount of influence?
How to make profits from community members and their influences?

Related publication:

[1]	Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, and Yihong Gong. A latent topic model for linked documents. In Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 720-721. ACM, 2009. [ bib \| .pdf ]

[2]	Tianbao Yang, Rong Jin, Yun Chi, and Shenghuo Zhu. Combining link and content for community detection: a discriminative approach. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 927-936. ACM, 2009. [ bib \| .pdf ]

[3]	Tianbao Yang, Rong Jin, Yun Chi, and Shenghuo Zhu. A Bayesian framework for community detection integrating content and link. In UAI '09: Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, 2009. [ bib \| .pdf ]

[4]	Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, and Rong Jin. A bayesian approach toward finding communities and their evolutions in dynamic social networks. In SDM'09: Proceedings of the 9th SIAM International Conference on Data Mining, Philadelphia, PA, USA, 2009. SIAM. [ bib \| .pdf ]

[5]	Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, and Belle L. Tseng. Analyzing communities and their evolutions in dynamic social networks. ACM Trans. Knowl. Discov. Data, 3(2):1-31, 2009. [ bib \| .pdf ]

[6]	Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, and Belle L. Tseng. Facetnet: a framework for analyzing communities and their evolutions in dynamic networks. In WWW '08: Proceeding of the 17th international conference on World Wide Web, pages 685-694, New York, NY, USA, 2008. ACM. [ bib \| .pdf ]

[7]	Yu-Ru Lin, Hari Sundaram, Yun Chi, Junichi Tatemura, and Belle L. Tseng. Detecting splogs via temporal dynamics using self-similarity analysis. ACM Trans. Web, 2(1):1-35, 2008. [ bib \| .pdf ]

[8]

Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, and Belle L. Tseng. Evolutionary spectral clustering by incorporating temporal smoothness. In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 153-162, New York, NY, USA, 2007. ACM. [ bib | .pdf ]

[9]

Yun Chi, Shenghuo Zhu, Xiaodan Song, Junichi Tatemura, and Belle L. Tseng. Structural and temporal analysis of the blogosphere through community factorization. In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 163-172, New York, NY, USA, 2007. ACM. [ bib | .pdf ]

[10]

Yu-Ru Lin, Hari Sundaram, Yun Chi, Junichi Tatemura, and Belle L. Tseng. Blog community discovery and evolution based on mutual awareness expansion. In WI '07: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pages 48-56, Washington, DC, USA, 2007. IEEE Computer Society. [ bib | .pdf ]

[11]

Yu-Ru Lin, Hari Sundaram, Yun Chi, Junichi Tatemura, and Belle L. Tseng. Splog detection using self-similarity analysis on blog temporal dynamics. In AIRWeb '07: Proceedings of the 3rd international workshop on Adversarial information retrieval on the web, pages 1-8, New York, NY, USA, 2007. ACM. [ bib | .pdf ]

[12]	Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, and Thomas S. Huang. Incremental spectral clustering with application to monitoring of evolving blog communities. In SDM'07: Proceedings of the 7th SIAM International Conference on Data Mining, Minneapolis, Minnesota, USA, 2007. SIAM. [ bib \| .pdf ]

[13]	Ka Cheung Sia, Junghoo Cho, Koji Hino, Yun Chi, Shenghuo Zhu, and Belle L. Tseng. Efficient computation of personal aggregate queries on blogs. In ICWSM'07: International Conference on Weblogs and Social Media, 2007. [ bib \| .pdf ]

[14]	Ka Cheung Sia, Shenghuo Zhu, Yun Chi, Koji Hino, and Belle L. Tseng. Capturing user interests by both exploitation and exploration. In UM '07: Proceedings of the 11th international conference on User Modeling, pages 334-339, Berlin, Heidelberg, 2007. Springer-Verlag. [ bib \| .pdf ]

[15]	Xiaodan Song, Yun Chi, Koji Hino, and Belle Tseng. Identifying opinion leaders in the blogosphere. In CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, pages 971-974, New York, NY, USA, 2007. ACM. [ bib \| .pdf ]

[16]	Xiaodan Song, Yun Chi, Koji Hino, and Belle L. Tseng. Information flow modeling based on diffusion rate for prediction and ranking. In WWW '07: Proceedings of the 16th international conference on World Wide Web, pages 191-200, New York, NY, USA, 2007. ACM. [ bib \| .pdf ]

[17]

Shenghuo Zhu, Kai Yu, Yun Chi, and Yihong Gong. Combining content and link for classification using matrix factorization. In SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pages 487-494, New York, NY, USA, 2007. ACM. [ bib | .pdf ]

[18]

Yun Chi, Belle L. Tseng, and Junichi Tatemura. Eigen-trend: trend analysis in the blogosphere based on singular value decompositions. In CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management, pages 68-77, New York, NY, USA, 2006. ACM. [ bib | .pdf ]

Last updated: Wed Dec 02 16:33:24 PST 2009