Database Reference
In-Depth Information
Mitzenmacher, M. (2004). A Brief History of
Generative Models for Power Law and Lognormal
Distributions. [Wellesley, MA: A K Peters, Ltd.].
Internet Mathematics , 1 (2), 226-251.
Ramakrishnan, R. (2007). Community Systems:
The World Online. In Proceedings of CIDR 2007,
Third Biennial Conference on Innovative Data
Systems Research , (pp. 341), Asilomar, CA.
Newman, M. E. J. (2005). Power laws, Pareto dis-
tributions and Zipf's law. Contemporary Physics ,
46 , 323-351. doi:10.1080/00107510500052444
Richardson, M., & Domingos, P. (2002). Mining
knowledge-sharing sites for viral marketing. In
Proceedings of the 14 th ACM SIGKDD Interna-
tional Conference on Knowledge Discovery and
Data Mining . Las Vegas, NV. New York: ACM
Press.
Pang, B., Lee, L., & Vaithyanathan, S. (2002).
Thumbs up? Sentiment classification using
machine learning techniques. In Proceedings of
the Acl-02 Conference on Empirical Methods in
Natural Language Processing - Volume 10 , (pp.
79-86). Morristown, NJ: ACL.
Salton, G., Wong, A., & Yang, C. S. (1975).
A vector space model for automatic indexing.
Communications of the ACM , 18 (11), 613-620.
doi:10.1145/361219.361220
Papadopoulos, S., Vakali, A., & Kompatsiaris, I.
(July, 2008). Digg it Up! Analyzing Popularity
Evolution in a Web 2.0 Setting. Paper presented
at MSoDa08 (Mining Social Data), a satellite
Workshop of the 18th European Conference on
Artificial Intelligence, Patras, Greece.
Seshadri, M., Machiraju, S., Sridharan, A., Bolot,
J., Faloutsos, C., & Leskovec, J. (2008). Mobile
Call Graphs: Beyond Power-Law and Lognormal
Distributions. In Proceedings of the Eighth ACM
SIGKDD International Conference on Knowledge
Discovery and Data Mining , (pp. 61-70), Edmon-
ton, Canada. New York: ACM Press.
Perlich, C., Helander, M., Lawrence, R., Liu, Y.,
Rosset, S., & Reddy, C. (2007). Looking for great
ideas: Analyzing the innovation jam. In Proceed-
ings of WebKDD / SNAKDD 2007: KDD Workshop
on Web Mining and Social Network Analysis, in
conjunction with the 13th ACM SIGKDD Interna-
tional Conference on Knowledge Discovery and
Data Mining (KDD 2007), (pp. 66-74).
Song, X., Chi, Y., Hino, K., & Tseng, B. L. (2007).
Information flow modeling based on diffusion
rate for prediction and ranking. In Proceedings
of the 16th international Conference on World
Wide Web (Banff, Alberta, Canada, May 08 - 12,
2007). WWW '07, pp. 191-200,ACM, New York,
NY, USA.
Piwowarski, B., & Zaragoza, H. (2007). Predic-
tive User Click Models based on Click-through
History. In Proceedings of the Sixteenth ACM
Conference on Conference on information and
Knowledge Management, Lisbon, Portugal, No-
vember 06 - 10, 2007, CIKM '07, (pp. 175-182).
New York: ACM.
Turney, P. D. (2001). Thumbs up or thumbs down?:
Semantic orientation applied to unsupervised
classification of reviews. In Proceedings of the
40th Annual Meeting on Association For Compu-
tational Linguistics, Philadelphia, PA, July 07 - 12,
(pp. 417-424). Morristown, NJ: ACL.
Quinlan, J. R. C4.5 (1993). Programs for Machine
Learning . San Francisco: Morgan Kaufmann
Publishers.
Wu, F., & Huberman, B. A. (2007). Novelty and
collective attention. Proceedings of the National
Academy of Sciences of the United States of
America , 104 (45), 17599-17601. doi:10.1073/
pnas.0704916104
Search WWH ::




Custom Search