Predicting blogging behavior using temporal and social networks

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2007, Pages 439-444

  Chen, Bi ^a   Zhao, Qiankun ^c   Sun, Bingjun ^b   Mitra, Prasenjit ^a,b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b The Pennsylvania State University   (United States)

^c AOL Lab   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATA MINING; DECISION SUPPORT SYSTEMS; FOOD PROCESSING; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL SYSTEMS; INTERNET; LEARNING SYSTEMS; MINING; REGRESSION ANALYSIS; SEARCH ENGINES;

BEHAVIOR MODELING; BLOGGERS; BLOGGING; EMPIRICAL EVALUATIONS; EVENT DETECTION; EXTREME LEARNING MACHINE; GENERAL REGRESSION NEURAL NETWORKS; INTERNATIONAL CONFERENCES; RECOMMENDER SYSTEMS; REGRESSION TECHNIQUES; SOCIAL DIMENSIONS; SOCIAL NETWORKS; TARGETED ADVERTISING;

NEURAL NETWORKS;

EID: 49849105113     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2007.97     Document Type: Conference Paper

References (15)

1. Y. Chi, B. L. Tseng, and J. Tatemura. Eigen-trend: trend analysis in the blogosphere based on singular value decompositions. In CIKM, 68-77, 2006.
2. N. S. Glance, M. Hurst, and T. Tomokiyo. Blogpulse: Automated trend discovery for weblogs. In WWW, 2004.
3. D. Gruhl, R. Guha, D. Liben-Nowell, and A. Tomkins. Information diffusion through blogspace. In WWW, 491-501, 2004.
4. Guang-Bin Huang, Qin-Yu Zhu, and Chee-Kheong Siew. Extreme Learning Machine: A New Learning Scheme of Feedforward Neural Networks. In IJCNN2004, 25-29, 2004.
5. R. Kumar, J. Novak, P. Raghavan, and A. Tomkins. On the bursty evolution of blogspace. In WWW, 568-576, 2003.
6. R. Kumar, J. Novak, and A. Tomkins. Structure and evolution of online social networks. In KDD, 611-617, 2006.
7. L. Licamele, and L. Getoor. Social Captital in Friendship-Event Networks. In ICDM, 959-964, 2006.
8. D. Metzler, Y. Bernstein, W. B. Croft, A. Moffat, and J. Zobel. The recap system for identifying information flow. In SIGIR, 678-678, 2005.
9. A. Qamra, B. Tseng, and E. Y. Chang. Mining blog stories using community-based and temporal clustering. In CIKM, 58-67, 2006.
10. Y. Qi and K. S. Candan. Cuts: Curvature-based development pattern analysis and segmentation for blogs and other text streams. In HYPERTEXT, 1-10, 2006.
11. D. Shen, J.T. Sun, Q. Yang and Z. Chen. Latent Friend Mining from Blog Data. ICDM, 552-561, 2006.
12. X. Song, B. L. Tseng, C.-Y. Lin, and M.-T. Sun. Personalized recommendation driven by information flow. In SIGIR, 509-516, 2006.
13. D. Tomandl and A. Schober. A modified general regression neural network (mgrnn) with new, efficient training algorithms as a robust 'black box'-tool for data analysis. Neural Netw., 14(8):1023-1034, 2001.
14. Q.K. Zhao and P. Mitra. Event Detection and Visualization for Social Text Streams. ICSWM, 2007.
15. Q.K. Zhao, P. Mitra and B. Chen Temporal and Information Flow based Event Detection from Social Text Streams. AAAI, 2007.