-
3
-
-
78649863842
-
An approach to model and predict the popularity of online contents with explanatory factors
-
J. G. Lee, S. Moon, and K. Salamatian. An approach to model and predict the popularity of online contents with explanatory factors. International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010, pages 623-630, 2010.
-
(2010)
International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010
, pp. 623-630
-
-
Lee, J.G.1
Moon, S.2
Salamatian, K.3
-
4
-
-
77954619079
-
Using a model of social dynamics to predict popularity of news
-
K. Lerman and T. Hogg. Using a model of social dynamics to predict popularity of news. World Wide Web Conference (WWW), pages 621-630, 2010.
-
(2010)
World Wide Web Conference (WWW)
, pp. 621-630
-
-
Lerman, K.1
Hogg, T.2
-
5
-
-
84954159636
-
Rt to win! Predicting message propagation in twitter
-
S. Petrovic, M. Osborne, and V. Lavrenko. Rt to win! predicting message propagation in twitter. ICWSM, 2011.
-
(2011)
ICWSM
-
-
Petrovic, S.1
Osborne, M.2
Lavrenko, V.3
-
6
-
-
83055186574
-
Understanding user-community engagement by multi-faceted features: A case study on twitter
-
H. Purohit, Y. Ruan, A. Joshi, S. Parthasarathy, and A. Sheth. Understanding user-community engagement by multi-faceted features: A case study on twitter. Social Media Analytics Workshop at World Wide Web (WWW) Conference, 2011.
-
Social Media Analytics Workshop at World Wide Web (WWW) Conference, 2011
-
-
Purohit, H.1
Ruan, Y.2
Joshi, A.3
Parthasarathy, S.4
Sheth, A.5
-
7
-
-
36448966763
-
Red opal: Product-feature scoring from reviews
-
C. Scaffidi, K. Bierhoff, E. Chang, M.Felker, H.Ng, and C.Jin. Red opal : product-feature scoring from reviews. Proceedings of the 8th ACM conference on Electronic commerce, 2008.
-
Proceedings of the 8th ACM Conference on Electronic Commerce, 2008
-
-
Scaffidi, C.1
Bierhoff, K.2
Chang, E.3
Felker, M.4
Ng, H.5
Jin, C.6
-
8
-
-
78649235583
-
Want to be retweeted? large scale analytics on factors impacting retweet in twitter network
-
B. Suh, L. Hong, P. Pirolli, and E. H. Chi. Want to be retweeted? large scale analytics on factors impacting retweet in twitter network. IEEE International Conference on Social Computing, pages 177-184, 2010.
-
(2010)
IEEE International Conference on Social Computing
, pp. 177-184
-
-
Suh, B.1
Hong, L.2
Pirolli, P.3
Chi, E.H.4
-
10
-
-
84858390198
-
Predicting response to political blog posts with topic models
-
T. Yano, W. W. Cohen, and N. A. Smith. Predicting response to political blog posts with topic models. Proceedings of NAACL-HLT, pages 477-485, 2009.
-
(2009)
Proceedings of NAACL-HLT
, pp. 477-485
-
-
Yano, T.1
Cohen, W.W.2
Smith, N.A.3
-
11
-
-
84858021671
-
Predicting information spreading in twitter
-
T. R. Zaman, R. Herbrich, J. van Gael, and D. Stern. Predicting information spreading in twitter. In Workshop on Computational Social Science and the Wisdom of Crowds, NIPS, 2010.
-
Workshop on Computational Social Science and the Wisdom of Crowds, NIPS, 2010
-
-
Zaman, T.R.1
Herbrich, R.2
Van Gael, J.3
Stern, D.4
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