We live in an increasingly networked world, especially with the blessing of information technology, we are all connected with one another in various online networks. Our computers are connected via Internet; we communicate with our family, friends, colleagues, partners, customers, etc. via email networks, instant messaging networks, mobile communication networks; we browse and search for useful information on the web; we share our interest, our status, and our thoughts on online social networks. These online networks grow fast and possess huge amount of recorded information, which presents great opportunities in understanding the science of these big networks, and in developing new applications from these networks and for these networks. However, new challenges have to be met --- the networks are huge and information is noisy, and these demand new methodologies in analyzing them, and in developing theories and applications for the big networks. This requires collective efforts of researchers with diverse expertise such as theory and algorithms, data mining, machine learning, statistics, complex systems, economics, sociology, etc. to tackle the problem together. This workshop serves as a forum to bring together people from various fields who are studying social and information networks to exchange their latest research results and to sparkle new ideas and directions in the study of networks.

The BigNet workshop focuses on the intersection of computations and networks. It invites researchers from all over the world who study social and information networks and their computation issues to share their research and insights into questions such as:

• §  What are the features of these networks?
• §  Why do they exhibit such features?
• §  How do networks form and evolve and can we model their formation and evolution?
• §  What kinds of hidden information can we extract and how?
• §  What kinds of activities and events can we predict from the network and how?
• §  How does information flow in the network?
• §  How can we do effective computations on such large networks?

The WWW 2017 edition of BigNet invites leading experts in the area from all over the world. Thus, it serves also as a networking event both for connecting researchers from diverse research areas such as algorithms, data mining, and machine learning, and for connecting researchers from different geographic regions.

   Prof. Jure Leskovec, Stanford University, USA [Slides]

   Prof. Wei Liu, The University of Western Australia

   Prof. Michalis Vazirgiannis, Ecole Polytechnique, France [Slides] 

  

Location: Meeting Room 7

The schedule of the BigNet workshop at WWW 2017 is listed below. 

Morning Session, Tuesday, Apr. 04, 2017

       Session Chair: Jie Tang

9:00 AM -- 9:05 AM, Open Ceremony

9:05 AM -- 10:00 AM, Keynote: Graph of Words: Boosting Text Mining Tasks with Graphs Slides

       Michalis Vazirgiannis, Ecole Polytechnique

10:20 AM -- 11:00 AM, Coffee Break

 

11:00 AM -- 11:55 AM, Keynote: Next-Generation Algorithms for Networks Slides

       Jure Leskovec, Stanford University

11:55 AM -- 12:15 PM, Oral Paper Presentation: Smart Jump: Automated Navigation Suggestion for Videos in MOOCs

       Han Zhang, Tsinghua University, China
 

Afternoon Session, Tuesday, Apr. 04, 2017

       Session Chair: Michalis Vazirgiannis

1:30 PM -- 2:25 PM, Keynote: Constructing knowledge nets from real-world natural language texts

       Wei Liu, The University of Western Australia

2:25 PM -- 2:55 PM, Invited Talk: The Effect of Recommendations on Network Structure

       Jessica Su, Stanford University

2:55 PM -- 3:00 PM, Closing Remarks.

This BigNet'17 workshop aims to provide a forum for presenting the most recent advances in big network analytics. The program of this workshop will focus the attention on presenting and discussing the state-of-the-art, open problems, challenges and latest models, techniques and algorithms in the field of big-network analysis. We expect novel research work that addresses various challenges of large-scale network analysis. In particular, this workshop aims to bring together both researchers and practitioners from different communities, such as network science, graph mining, computational social science, Web mining, machine learning, etc. In this context, topics of interest include but are not limited to:

• §  Novel algorithms for large-scale network analysis;
• §  Computational models / frameworks for mining big graphs;
• §  Deep and representation learning for networks;
• §  Data integration from multiple big networks;
• §  Mining big heterogeneous and multiplex networks;
• §  Link prediction and social tie in big networks; 
• §  Community detection in big networks;
• §  Influence maximization in big networks;
• §  Clustering and ranking methods for big networks;
• §  Social influence analysis in networks;
• §  Diffusion models for information or disease diffusion;
• §  Graph evolution and network dynamics;
• §  Subgraph (triangle, motif, etc.) count in large graphs;
• §  Suspicious behavior and anomaly detection;
• §  Recommendations in large-scale networked data;
• §  Visualization for big network data;
• §  Novel big-network problems, theories, and applications.

The BigNet @ WWW 2007 committee will select papers of the highest quality to receive the BigNet 2017 Best Paper Award sponsored by AMiner.org.  The Winners will receive a certificate together with a cash honorarium. Selected high-quality papers will be invited to submit extended version to a prestigious journal, such as ACM or IEEE Transactions.

Important Dates

• §  Submission Deadline: Feb. 05, 2017. Jan. 31, 2017
• §  Notification Date: Feb. 12, 2017. Feb. 7, 2017
• §  Camera-Ready Submission: Feb. 19, 2017.  Feb. 14, 2017
• §  All deadlines are at 11:59PM Alofi Time

Submission Guidelines

This workshop accepts both full-paper (up to 9 pages) and poster-paper submissions (up to 2 pages), which present new and original work. Submissions should be written in English and contain author names, affiliations, and email addresses. Submitted papers should be in PDF and conform to the WWW 2017 main conference submission format: the ACM SIG Proceedings template with a font size no smaller than 9pt (http://www.acm.org/publications/proceedings-template).

Submission site at easychair: https://easychair.org/conferences/?conf=bignet2017

Workshop Co-Chairs

    Jie Tang, Tsinghua University, China 

   Michalis Vazirgiannis, Ecole Polytechnique, France  

   Hanghang Tong, Arizona State University, USA

   Yuxiao Dong, Microsoft Research, USA

To Be Announced!

Contact

Should you have any questions, please direct your questions to jietang at tsinghua.edu.cn.

BigNet'16 @ ACM CIKM 2016, Indianapolis, USA