November 2015 - Dm-meeting - mailman.cs.vt.edu

Congratulations to Sorour and Yao
by B. Aditya Prakash 20 Nov '15

20 Nov '15

*** Sorour won the Best Graduate Research Poster Award at the Southeast Women in Computing Conference 2015 (this was for the work she collaborated with Liangzhe) *** Yao won a ICDM 2015 Student Travel Award (for our paper with Abhijin and Anil) Congratulations to both! cheers, - Aditya

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Meeting this week
by Liangzhe Chen 16 Nov '15

16 Nov '15

Hi everyone, we will have our meeting at regular time (Wed 12-1pm at Torg 3160). This time Liangzhe will present the following three papers. 1) Learning Social Network Embeddings for Predicting Information Diffusion <http://dl.acm.org/citation.cfm?id=2556216> S. Bourigault, C. Lagnier, S. Lamprier, L. Denoyer, P. Gallinary. WSDM'14 2) Leveraging Social Context for Modeling Topic Evolution <http://eceweb.ucsd.edu/~gert/papers/mte.pdf> J, Kalyanam, A. Mantrach, D. Saez-Trumper, H. Vahabi, G. Lanckriet. KDD'15 3) A Decision Tree Framework for Spatiotemporal Sequence Prediction <http://www.yisongyue.com/publications/kdd2015_ssw_dt.pdf> T. Kim, Y. Yue, S. Taylor, I. Matthews. KDD’15 See you all in the meeting! Thanks, Liangzhe

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Meeting this week
by Liangzhe Chen 09 Nov '15

09 Nov '15

Hi all, our group meeting will be at regular time this week (Wed. 12-1pm Torg. 3160). This time Bijaya will give a presentation about the following two papers: 1) From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics <http://arxiv.org/pdf/1505.07193> 2) Graph Summarization with Quality Guarantees <http://francescobonchi.com/icdm14CR.pdf> See you all in the meeting! Thanks, Liangzhe

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Meeting this week
by Liangzhe Chen 02 Nov '15

02 Nov '15

Hi all, this week Yao will talk about the paper he will present in the upcoming ICDM conference. The meeting is at our regular time (Wed. 12 noon to 1pm in Torg. 3160). See below for more information about the paper. Paper link: http://people.cs.vt.edu/~badityap/papers/groupvacc-icdm15.pdf <http://people.cs.vt.edu/~badityap/papers/groupvacc-icdm15.pdf> Title: Controlling Propagation at Group Scale on Networks Abstract: Given a network with groups, such as a contact network grouped by ages, which are the best groups to immunize to control the epidemic? Equivalently, how to best choose communities in social networks like Facebook to stop rumors from spreading? Immunization is an important problem in multiple different domains like epidemiology, public health, cyber security and social media. Additionally, clearly immunization at group scale (like schools and communities) is more realistic due to constraints in implementations and compliance (e.g., it is hard to ensure specific individuals take the adequate vaccine). Hence efficient algorithms for such a “group-based” problem can help public-health experts take more practical decisions. However most prior work has looked into individual-scale immunization. In this paper, we study the problem of controlling propagation at group scale. We formulate novel so-called Group Immunization problems for multiple natural settings (for both threshold and cascade-based contagion models under both node-level and edge level interventions) and develop multiple efficient algorithms, including provably approximate solutions. Finally, we show the effectiveness of our methods via extensive experiments on real and synthetic datasets. Thanks, Liangzhe

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