1. 1. R. Ahmed and G. Karypis, “Algorithms for Mining the Evolution of Conserved Relational States in Dynamic Networks,” Knowledge and Information Systems, vol. 33, no. 3, pp. 603-630, Dec. 2012.
   2. M.H. Alam, J.W. Ha, and S.K. Lee, “Novel Approaches to Crawling Important Pages Early,” Knowledge and Information Systems, vol. 33, no. 3, pp 707-734, Dec. 2012.
   3. S. Aral and D. Walker, “Identifying Influential and Susceptible Members of Social Networks,” Science, vol. 337, pp. 337-341, 2012.
   4. A. Machanavajjhala and J.P. Reiter, “Big Privacy: Protecting Confidentiality in Big Data,” ACM Crossroads, vol. 19, no. 1, pp.20-23, 2012
   5. S. Banerjee and N. Agarwal, “Analyzing Collective Behavior from Blogs Using Swarm Intelligence,” Knowledge and Information Systems, vol. 33, no. 3, pp. 523-547, Dec. 2012.
   6. E. Birney, “The Making of ENCODE: Lessons for BigData Projects,” Nature, vol. 489, pp. 49-51, 2012
   7. J. Bollen, H. Mao, and X. Zeng, “Twitter Mood Predicts the Stock Market,” J. Computational Science, vol. 2, no. 1, pp. 1-8, 2011.
   8. S. Borgatti, A. Mehra, D. Brass, and G. Labianca, “Network Analysis in the Social Sciences,” Science, vol. 323, pp. 892-895, 2009.
   9. J. Bughin, M. Chui, and J. Manyika, Clouds, Big Data, and Smart Assets: Ten Tech-Enabled Business Trends to Watch. McKinSey Quarterly, 2010. D. Centola, “The Spread of Behavior in an Online Social Network Experiment,” Science, vol. 329, pp. 1194-1197, 2010.