Workshop Program

TBD.

Keynote Speakers

TBD.

Call for Papers

The rich proliferation of many social media platforms is widely by used people on smartphone devices all over the world. At the same time, the incremental data of online social networks (e.g., Facebook), microblogs (e.g., Twitter), multi-media sites (e.g., YouTube, Instagram) and user review sites (e.g., Yelp) are imposing new challenges for the efficient data management and analysis query processing. On one hand, online social networks are undergoing rapid changes, not only on the dynamic graph structure, but also in the new information of updating user profiles, new hashtags in posters, as well as breakthrough events. On the other hand, the size of social media data is becoming bigger and bigger due to, e.g., the explosion of new posters and also the massive amount of users. Utilizing new technologies for efficient handling big social media data management is of urgent importance. However, numerous essential issues in this area have yet to be explored, including data crawling and modeling, storage, indexes, querying and mining, privacy, and so on.

The 2019 International Workshop on Big Social Media Data Management and Analysis (BSMDMA2019) aims to provide a forum for presenting the most recent advances of online social media in data management and mining, related to web search and information retrieval, social network analysis, visualization and summarization, and network science. The BSMDMA2019 will be in conjunction with the IEEE International Conference on Data Mining (ICDM'19) on November 8-11, 2019, Beijing, China. We are particularly interested in articles that address how to handle query processing on large-scale and dynamic social media data as well as their novel applications for social media platforms. Topics of interest include but are not limited to:

  • Community Detection and Search
  • Network Embedding and Representation
  • Social Networks Crawling
  • Data Cleaning
  • Event Data Quality
  • Fake News Detection
  • Short-text Sentiment Analysis
  • Large-scale Complex Network Analysis
  • Big Graph Management and Mining
  • Keyword and Microblog Search
  • Text Summarization
  • Argumentation Mining
  • Privacy-aware Computing in Social Network
  • Social Content Processing
  • Role Identification and Relation Analysis in Social Network
  • Querying and Mining Problems on Location-based Social Networks
  • Evolution Patterns in Dynamics Graph Streaming
  • Distributed Graph Query Processing

Submission Guidelines

The submissions must be original (not previously published and not under review in other forums). We welcome the submission of regular research papers (up to 8 pages) as well as short papers (2-4 pages). The submission webpage for BSMDMA2019 is cyberchair. Submissions should follow the regular ICDM paper format and relates with our workshop topics. All papers will be peer reviewed, single-blinded. Accepted papers will be published informal proceedings published by the IEEE Computer Society Press indexed by EI.

Organization

General Co-Chairs

    TBD.

Program Co-Chairs

  • Shaoxu Song, Tsinghua University, China
  • Xin Huang, Hong Kong Baptist University, Hong Kong

​Program Committee (Tentative)

  • Cigdem Aslay, Aalto University, Finland
  • Yang Cao, Kyoto University, Japan
  • Wei-Lun Chang, Tamkang University, Taiwan
  • Tommy Dang, Texas Tech University, USA
  • Yixiang Fang, The University of New South Wales, Australia
  • Francesco Gullo, UniCredit, Italy
  • Dongxiao He, Tianjin University, China
  • Hsiao-Wei Hu, Fu-Jen Catholic University, Taiwan
  • Yafei Li, Zhengzhou University, China
  • Qing Liu, Hong Kong Baptist University, Hong Kong
  • Xiao Wang, Tsinghua University, China
  • Yubao Wu, Georgia State University, USA
  • Yunya Song, Hong Kong Baptist University, Hong Kong
  • Yu Yang, Simon Fraser University, Canada
  • Xiaofei Zhang, University of Memphis, USA
  • Lijun Chang, University of Sydney, Australia
  • Long Cheng, Nanyang Technological University, Singapore
  • Ronghua Li, Beijing Institute of Technology, China
  • Zhiwei Zhang, Hong Kong Baptist University, Hong Kong
  • Zechao Shang, University of Chicago, USA
  • Yu Rong, Tencent AI Lab, China
  • Xin Cao, The University of New South Wales, Australia
  • Cheng-Te Li, National Cheng Kung University, Taiwan
  • Lu Qin, University of Technology Sydney, Australia
  • Yuanyuan Zhu, Wuhan University, China
  • Jilian Zhang, Jinan University, China
  • Sophie Li, Amazon, Canada
  • Wei Lu, LinkedIn Corporation, USA

Pervious Workshops

You can find more details of our previous workshops BSMDMA2017 and BSMDMA2018 .


Attending Conference

BSMDMA2019 is co-located with ICDM2019, which will share information in attending the conference. Please check following important links before you plan your itinerary.

http://icdm2019.bigke.org/

If you have any questions, please email: bsmdma@gmail.com