Here is a list of prospective papers we could discuss during the meetings.
- R.L. Cruz. Ad-hoc networks at global scale. In Computing, Networking and Communications (ICNC), 2013 International Conference on, pages 813–817, Jan 2013. (doi:10.1109/ICCNC.2013.6504193)
- Nidhi Hegde, Laurent Massoulié, and Laurent Viennot. Self-organizing flows in social networks. In SIROCCO, pages 116–128, 2013.
- M. E. J. Newman. Spectral methods for network community detection and graph partitioning. Physical Review E, 88(4):042822, 2013.
- Yashodhan Kanoria and Andrea Montanari. Majority dynamics on trees and the dynamic cavity method. Ann. Appl. Probab., 21(5):1694–1748, 2011. (doi:10.1214/10-AAP729)
- Y. Kanoria and O. Tamuz. Tractable bayesian social learning on trees. Selected Areas in Communications, IEEE Journal on, 31(4):756–765, April 2013. (doi:10.1109/JSAC.2013.130412)
- Avner May, Augustin Chaintreau, Nitish Korula, and Silvio Lattanzi. Filter & follow: How social media foster content curation. In The 2014 ACM International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS '14, pages 43–55, New York, NY, USA, 2014. ACM. (doi:10.1145/2591971.2592010)
- Devavrat Shah and Tauhid Zaman. Detecting sources of computer viruses in networks: Theory and experiment. In Proceedings of the ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS '10, pages 203–214, New York, NY, USA, 2010. ACM. (doi:10.1145/1811039.1811063)
- Reza Bosagh Zadeh, Ashish Goel, Kamesh Munagala, and Aneesh Sharma. On the precision of social and information networks. In COSN, pages 63–74, 2013.
- Yunpeng Zhao, Elizaveta Levina, and Ji Zhu. Consistency of community detection in networks under degree-corrected stochastic block models. Ann. Statist., 40(4):2266–2292, 2012. (doi:10.1214/12-AOS1036)