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 2017/2018, meetings are held on Thursday 2:00-3:00 pm in ICICS X530 .
You can also subscribe to our mailing list to get latest news and announcements. Please send an email to majordomo@cs.ubc.ca 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 | Xiang Li, J. David Smith, Thang N. Dinh, My T. Thai. Why approximate when you can get the exact? Optimal Targeted Viral Marketing at Scale. INFOCOM 2017. |
| Feb 8 | - | - |
| Feb 15 | Ezequiel | Forecasting Multiple Time Series with One-Sided Dynamic Principal Components |
| Feb 23 | Jason and Devon | Deep Models of Interactions Across Sets |
| Mar 1 | Mohit | Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola, How Jing. Recurrent Recommender Networks. WSDM 2017. |
| Mar 8 | Sharan | Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei. Deepcas-An End-to-end Predictor of Information Cascades. WSDM 2017. |
| Mar 15 | - | - |
| Mar 22 | Yu | Fernando Chirigati, Jialu Liu, Flip Korn, You (Will) Wu, Cong Yu, Hao Zhang. Knowledge Exploration Using Tables on the Web. VLDB 2016. |
| Mar 29 | Alex | Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos, Neal E. Young, Flip Korn, Divesh Srivastava. Efficient and effective explanation of change in hierarchical summaries. KDD 2007. |
| April 5 | Prithu | EPIC: Economically Postulated Independent Cascade |
| April 12 | Zainab | Zainab Zolaktaf, Reza Babanezhad, Rachel Pottinger. A Generic Top-N Recommendation Framework For Trading-off Accuracy, Novelty, and Coverage. ICDE 2018. |
| April 19 | Prithu | EPIC: Economically Postulated Independent Cascade |
| April 26 | Sarah | Naoto Ohsaka and Yuichi Yoshida. Portfolio optimization for influence spread. KDD 2007. |
| May 3 | - | - |
| May 10 | Glenn | Emre Sefer and Carl Kingsford. Diffusion Archaeology for Diffusion Progression History Reconstruction. ICDM 2014. |
| May 14 | Carson Leung | Visual Analytics of Big Data: Visualizing Popular/Frequent Patterns |
| May 24 | - | - |
| May 31 | - | - |
| June 7 | Alex | Polina Rozenshtein, Aristides Gionis, B. Aditya Prakash, Jilles Vreeken. Reconstructing an Epidemic Over Time. KDD 2016. |
| June 14 | - | - |
| June 21 | Prithu | Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen. Multi-Round Influence Maximization. KDD 2018. |
| June 28 | Prithu | Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen. Multi-Round Influence Maximization. KDD 2018. |
| July 5 | Sarah | Sharan Vaswani and Laks V.S. Lakshmanan. Adaptive Influence Maximization in Social Networks: Why Commit when You can Adapt? |
| July 12 | Himanshu | Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei. DeepCas: an End-to-end Predictor of Information Cascades . |
| July 19 | Alex | Matthias Ruhl, Mukund Sundararajan, Qiqi Yan. The Cascading Analysts Algorithm. SIGMOD 2018 |
| July 26 | - | - |
| Aug 2 | Michael Simpson | Scalable Misinformation Prevention in Social Networks |
| Aug 9 | Remi | Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Khalil, Shuang Li, Le Song, Hongyuan Zha. Fake News Mitigation via Point Process Based Intervention. ICML 2017. |