1Mizrach B, Weerts S. Experts online:An analysis of trading activity in a public internet chat room [ J ]. Journal of Economic Behavior & Organization, 2009, 70(1/2) :266-281.
2Van Bommel J. Rumors [ J ]. The Journal of Finance, 2003,58 (4) : 1499-1520.
3Hong H, Kubik J D, Stein J C. Social interaction and stock-market participation [ J ]. The Journal of Fi- nance ,ZO04,59( 1 ) :137-163.
5Joseph K, Wintoki M B, Zhang Z. Forecasting abnor- mal stock returns and trading volume using investor sentiment : Evidence from online search [ J ]. Interna- tional Journal of Forecasting, 2011,27 ( 4 ) : 1116 - 1127.
6De Choudhury M, Sundaram H, John A, Seligmann D D. Can blog communication dynamics be correlated with stock market activity ? [ C ] //Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia. New York, NY : ACM, 2008:55-60.
7Mao Y, Wei W, Wang B, Liu B. Correlating S&P 500 stocks with Twitter data [ C ] //Proceedings of the First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research. New York, NY : ACM, 2012:69-72.
8Zhang X, Fuehres H, Gloor P A. Predicting asset val- ue through Twitter buzz [ C ] // Altmann J, Bauml U, Kramer B J. Advances in Collective Intelligence 2011. Berlin : Springer, 2012:23-34.
9Sabherwal S, Sarkar S K, Zhang Y. Do internet stock message boards influence trading? Evidence from heavily discussed stocks with no fundamental news [ J ]. Journal of Business Finance & Accounting, 2011,38(9/10) :1209-1237.
10Ruiz E J, Hristidis V, Castillo C, Gionis A, Jaimes A. Correlating financial time series with micro-blog- ging activity [ C ]//Proceedings of the Fifth ACM In- ternational Conference on Web Search and Data Min- ing, New York, NY : ACM ,2012:513-522.
