Data Management and Mining Lab, Computer Science Dept., UBC

What is SNRG?

SNRG is a reading group that holds weekly meetings to discuss interesting papers and problems, generally related to social networks. Feel free to attend meetings and participate in discussions. All ideas about problems, papers, talks, etc. are welcome. Meetings usually start with stating an interesting problem without getting into possible solutions, and then following up possible approaches to previously stated problems. An informal talk by a volunteer follows, and attendants discuss about the paper(s) as the speaker proceeds. Finally, possible applications of and extensions to the approach are discussed.

When, where, and how?

Currently, in the second Winter term of 2016/2017, meetings are held on Monday 2:00-3:30 pm in ICICS 304 .
You can also subscribe to our mailing list to get latest news and announcements. Please send an email to containing "subscribe sn-rg" in its body, and then follow the instructions.

SNRG talks

List of previous and upcoming talks:

Date Speaker Title or Paper Name
Feb 1 Glenn Akhil Arora, Sainyam Galhotra, Sayan Ranu, "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study", SIGMOD 2017.
Feb 19 Prithu Samuel Ieong, Mohammad Mahdian and Sergei Vassilvitskii, Advertising in a stream, WWW 2014.
Feb 27 Prithu (continued)
Mar 6 Sharan Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks Lakshmanan and Mark Schmidt. Diffusion Independent Semi-Bandit Influence Maximization.
Mar 13 Ritika Rahmtin Rotabi, Krishna Kamath, Jon Kleinberg and Aneesh Sharma. Cascades: A view from Audience. WWW 2017.
Mar 20 - -
Mar 27 Alex Brett Walenz and Jun Yang, Perturbation analysis of database queries, VLDB 2016.
April 3 Glenn Andrew An Bian, Joachim M. Buhmann, Andreas Krause and Sebastian Tschiatschek, Guarantees for Greedy Maximization of Non-submodular Functions with Applications, On ArXiv March 6, 2016.
April 10 Glenn (continued)
April 17 - -
April 24 - -
May 1 Alex Mark Herbster and Manfred K. Warmuth, Tracking the Best Expert, Journal of Machine Learning, August 1998, Volume 32, Issue 2.
May 7 Prithu Wei Lu, Wei Chen and Laks V.S. Lakshmanan, From competition to complementarity: comparative influence diffusion and maximization, VLDB 2015.
May 14 Prithu (continued)
May 22 - -
June 5 Glenn Nan Du, Yichen Wang, Niao He, Le Song, Time-Sensitive Recommendation From Recurrent User Activities, NIPS 2015.
June 12 Prithu Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang, Streaming Recommender Systems, WWW 2017.
June 19 Alex Luan Tran, Liyue Fan, Cyrus Shahabi, Distance-based outlier detection in data streams , VLDB 2016.
June 26 Laks Paper writing tips.
July 3 Kiran Quantifying and Reducing Polarization on Social media
July 10 Ezequiel Automated Fact-checking and ClaimBuster
July 17 Alex Leo Breiman, Random Forests, Machine Learning, October 2001.
July 24 Jiannan Wang and Yudian Zheng "Speeding Up Data Science: From a Data Management Perspective" and "Managing the Quality of Crowdsourced Data".
Aug 3 Prithu Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Jeff Yuan, Lluis Garcia-Pueyo, Supercharging recommender systems using taxonomies for learning user purchase behavior, PVLDM, June 2012.
Aug 10 Yuxi Long short-term memory