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Cha, M., Kwak, H., Rodriguez, P., Ahn, Y., &
Moon, S. (2007). I Tube, You Tube, Everybody
Tubes: Analyzing the World's Largest User Gen-
erated Content Video System. In Proceedings of
the 7th ACM SIGCOMM conference on Internet
measurement , San Diego, CA.
This work was supported by the WeKnowIt project,
partially funded by the European Commission,
under contract number FP7-215453.
Clauset, A., Shalizi, C. R., & Newman, M. E. J.
(2007). Power-law distributions in empirical data .
Tech. Rep. submitted to arXiv on June 7, 2007
with identifier: arXiv:0706.1062v1.
referenceS
Aberer, K., Cudré-Mauroux, P., Ouksel, A. M.,
Catarci, T., Hacid, M. S., Illarramendi, A., et al.
(2004). Emergent Semantics Principles and Issues.
(LNCS Vol. 2973, pp. 25-38). Berlin: Springer.
Cormode, G., & Muthukrishnan, S. (2005).
Summarizing and mining skewed data streams.
In Proceedings of the 2005 SIAM International
Conference on Data Mining , (pp.44-55). SIAM.
Agichtein, E., Castillo, C., Donato, D., Gionis,A.,
& Mishne, G. (2008). Finding high-quality content
in social media. In Proceedings of the international
Conference on Web Search and Web Data Mining,
Palo Alto, CA, February 11 - 12, 2008 (WSDM
'08, pp. 183-194). New York: ACM.
Cristianini, N., & Shawe-Taylor, J. (2000). An
Introduction to Support Vector Machines and
other kernel-based learning methods . New York:
Cambridge University Press.
Anagnostopoulos, A., Kumar, R., & Mahdian,
M. (2008). Influence and Correlation in Social
Networks. In Proceedings of the 14th ACM SIG-
KDD international Conference on Knowledge
Discovery and Data Mining, Las Vegas, Nevada,
USA, August 24 - 27, 2008 (KDD '08, pp. 7 - 15).
New York: ACM.
Dave, K., Lawrence, S., & Pennock, D. M. (2003).
Mining the peanut gallery: opinion extraction
and semantic classification of product reviews.
In Proceedings of the 12th international Confer-
ence on World Wide Web , Budapest, Hungary,
May 20 - 24, (WWW '03, pp. 519-528). New
York: ACM.
Barabási, A.-L., & Albert, R. (1999). Emergence
of Scaling in Random Networks. [Washington,
DC: AAAS.]. Science , 286 (5439), 509-512.
doi:10.1126/science.286.5439.509
Duda, R. O., Hart, P. E., & Stork, D. G. (2001).
Pattern Classification . Chichester, UK: John
Wiley & Sons, Inc.
Eagle, N., & Pentland, A. (2005). Social Ser-
endipity: Mobilizing Social Software. IEEE
Pervasive Computing / IEEE Computer Society
[and] IEEE Communications Society , 4 (2), 28-34.
doi:10.1109/MPRV.2005.37
Bi, Z., Faloutsos, C., & Korn, F. (2001). The
“DGX” distribution for mining massive, skewed
data. In Proceedings of the Seventh ACM SIG-
KDD international Conference on Knowledge
Discovery and Data Mining , San Francisco,
California, August 26 - 29 (KDD '01, pp. 17-26).
New York: ACM.
Eagle, N., & Pentland, A. (2006). Reality Min-
ing: Sensing Complex Social Systems. Personal
and Ubiquitous Computing , 10 (4), 255-268.
doi:10.1007/s00779-005-0046-3
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