Paper Submission
Author Registration
Local Accommodation Details

Important Dates

Submission Deadline:

Aug 17, 2019
Aug 25, 2019 (23:59 UTC-12)

Notification:

Sep 6, 2019

Camera-ready Deadline:

Sep 8, 2019

[ ICDM2019 ]

[ BSMDMA2018 ]

[ BSMDMA2017 ]

[ Paper Submission ]

[ Paper Format ]

bsmdma@gmail.com

Workshop Program

The program of BSMDMA workshop is half-day with 1 keynote speech and 5 paper presentations.

BSMDMA Workshop @ ICDM 2019

Location: Room 303A, China National Convention Center (CNCC), Beijing, China

Date: Friday, November 8, 2019

08:50~09:00 Welcome
09:00~10:00 Opening Keynote
From Community Detection to Adaptive Relation Discovery in Big Social Networks

Chaokun Wang (Tsinghua University, China)
10:00~10:20 Coffee Break
10:20~12:00 [1] Content-based Network Influence Probabilities: Extraction and Application
Alvis Logins and Panagiotis Karras
[2] Efficient Adoption Maximization in Multi-layer Social Networks
Shuntong Chen, Huaien Qian, Yanping Wu, Chen Chen, and Xiaoyang Wang
[3] Predictive Models for Early Detection of Hoax spread in Twitter
Didier Henry and Erick Stattner
[4] Point of Interest Recommendation by Exploiting Geographical Weighted Center and Categorical Preference
Fan Mo and Hayato Yamana
[5] Inferred Social Networks: A Case Study
Irena Holubova, Martin Svoboda, Tomas Skopal, and David Bernhauer

Keynote Speakers

Speaker: Prof. Chaokun Wang

(Associate Professor, Tsinghua University, China)

Title:

From Community Detection to Adaptive Relation Discovery in Big Social Networks

Abstract:

Research in big social networks has attracted more and more attention from both industry and academia. Many important concepts, such as communities, have been widely used in a large number of tasks for big media data management and analysis, such as finding strongly linked users with similar interests. In social networks, the topic of community has been gradually enriched and expanded in the last decade, but also faces many challenges. In the talk, we go through the history of community detection and then introduce our recent projects on community research and adaptive relational discovery. Big social data is asking for fast and insightful solutions. The research in the area of social media data management and analysis will be more deep and abundant in the future.

Biography:

Dr. Chaokun Wang is an Associate Professor at Tsinghua University. He received the B.Eng. degree in computer science and technology, the M.Sc. degree in computational mathematics and the Ph.D. degree in computer software and theory from Harbin Institute of Technology. Dr. Wang has published over 90 refereed papers in major conferences and journals including VLDB, SIGMOD, ICDE, TKDE, SIGIR, WWW, and AAAI. He got four best paper awards at international conferences, and held 16 patents. His current research interests include social network analysis, graph data management, and big data systems. He is a member of IEEE/ACM, and a senior member of CCF.

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 10 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

  • Jiming Liu, Hong Kong Baptist University
  • Xing Xie, Microsoft Research Asia

Program Co-Chairs

  • Shaoxu Song, Tsinghua University, China
  • Lijun Chang, University of Sydney, Australia
  • Xin Huang, Hong Kong Baptist University, Hong Kong

​Program Committee

  • Yuki Arase, Osaka University, Japan
  • Qing Bao, Hangzhou Dianzi University, China
  • Wei-Lun Chang, Tamkang University, Taiwan
  • Pengfei Jiao, Tianjin University, China
  • Anoop Kumar, University of Southern California, USA
  • Jianxin Li, Deakin University, Australia
  • Shenghua Liu, Chinese Academy of Sciences, China
  • Shengxin Liu, Nanyang Technological University, Singapore
  • Yong Liu, Nanyang Technological University, Singapore
  • Wei Lu, Linkedin, USA
  • Lu Qin, University of Technology, Sydney, Australia
  • Yu Rong, Tencent, China
  • Benyun Shi, Hong Kong Baptist University, Hong Kong
  • Xiaoyang Wang, Zhejiang Gongshang University, China
  • Yubao Wu, Georgia State University, USA
  • Chengcheng Yang, Inception Institute of Artificial Intelligence, United Arab Emirates
  • Yajun Yang, Tianjin University, China
  • Ji Zhang, University of Southern Queensland, Australia
  • Jilian Zhang, Jinan University, China
  • Xiaofeng Zhang, Harbin Institute of Technology, Shenzhen, China
  • Zhiwei Zhang, Hong Kong Baptist University, Hong Kong
  • Zhongying Zhao, Shandong University of Science and Technology, China

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