November 8-11, 2019, Beijing, China

The Social Computing Workshop

( SCW )


As the foundation of the intelligent society, social computing can make full use of the open and flowing big data resources, synthesize various elements such as coordinator, place, matter, material and organization, form the social structure of information symmetry, access equivalence and flat organization, and promote the transformation of traditional social management mode to the innovative social management mode of distributed, intensive, informationized, intellectualized and fully responsive. These spiraling trends have led to a rising prominence of social computing, social network analysis and mining methods and tools in academia, politics, security and business.

The Social Computing Workshop (SCW) provides an interdisciplinary venue that brings together researchers and practitioners from a broad variety of fields to promote collaborations and exchange of ideas and practices. SCW is intended to address important aspects with a specific focus on emerging trends and social needs. The workshop solicits empirical, experimental, methodological, and theoretical research reporting original and unpublished results on social computing along with applications.


The Social Computing Workshop is a main workshop for scientists, engineers, and users to exchange and share their experiences, new ideas, and latest research results on all aspects of social computing. SCW will be held in Beijing, China, November 8, 2019. It will be held in parallel with the 19th International Conference on Data Mining ( in Beijing, November 8-11, 2019.

The Social Computing Workshop aims to attract researchers from all over the world working in the field of social computing, and also welcomes all researchers in the database, data mining, natural language processing, social data and web mining to utilize their expertise and match up to develop more efficient and practical algorithms or models to obtain smart knowledge from daily generated invaluable social media and web data.

Topics of interest include, but are not limited to

  • Models of Social Networks
  • Structural Network Properties and Analysis
  • Community Structure in Social Networks
  • Community Discovery in Social Networks
  • Motif Discovery in Social Networks
  • Social Network Mining
  • Network embedding methods
  • Deep learning with graphs
  • Dynamics and Evolution Patterns of Social Networks
  • Link Prediction
  • Social Network Node Labeling and Classification
  • Visual Representation of Large Scale Networks
  • Large-scale Graph Analytics
  • Social Reputation, Influence, and Trust
  • Information Spreading in Social Media
  • Rumour and Viral Marketing in Social Networks
  • Social Recommendation Systems
  • Financial and Economic Networks
  • Social Networks and Mobility
  • Complex Networks, Smart Cities and Smart Grids
  • Political Networks
  • Supply Chain Networks
  • Social Networks and Information Systems
  • Social Networks and IoT
  • Social Networks and Cloud Computing
  • Cognitive Network Science

Submission Information

Paper submissions should be limited to a maximum of ten (10) pages, in the IEEE 2-column format (link), including the bibliography and any possible appendices. Submissions longer than 10 pages will be rejected without review. All submissions will be triple-blind reviewed by the Program Committee on the basis of technical quality, relevance to scope of the social computing workshop, originality, significance, and clarity. Submissions of a paper should be regarded as an undertaking that, should the paper be accepted, at least one author will attend the conference to present the work. More instructions about submission guidelines is at

Authors should make the submissions through the Online Submission System.

By the unique ICDM tradition, all accepted workshop papers will be published informal proceedings published by the IEEE Computer Society Press indexed by EI.

Important Dates

  • All deadlines are at 11:59 PM Pacific Daylight Time.
  • Workshop Duration: half-day.
  • Workshop paper submissions deadline: August 7, 2019. August 16, 2019.
  • Workshop paper notification: September 4, 2019.
  • Camera-ready deadline and copyright forms: September 8, 2019.


Workshop General Co-Chairs:

  • Bo Du, Wuhan University, China
  • Jia Wu, Macquarie University, Australia

Workshop PC Co-Chairs:

  • Zhiwei Zhang, Suzhou University, China
  • Lin Cui, Suzhou University, China

Technical Program Committees:

  • Mehmet Orgun, Macquarie University, Australia
  • Haishuai Wang, Harvard University, USA
  • Shirui Pan, Monash University, Australia
  • Chuan Zhou, Chinese Academy of Sciences, China
  • Wenbin Hu, Wuhan University, China
  • Jiayi Ma, Wuhan University, China
  • Junjun Jiang, Harbin Institute of Technology, China
  • Haibo Wang, Tsinghua Unviersity, China
  • Lefei Zhang, Wuhan University, China


Workshop Presentation Schedule

  • All times are Beijing Mean Time (UTC+8), China.
  • The SCW will be held at 8:00 a.m. on November 8, 2019, in Room 302AB, China National Convention Center, Beijing, China.
  • Every presentation must ensure that at least one author shows their achievements.
  • Each presentation will last 30 minutes, including questions.
  • More detailed program, please refer to the table below.
# Time Title Authors Affiliation
1 8:00-8:10 a.m. Opening & Welcome
2 8:10-8:40 a.m. Network2Vec: Learning Node Representation Based on Space Mapping in Networks Zhenhua Huang,
Zhenyu Wang,
Rui Zhang,
and etc.
South China University of Technology, China
3 8:40-9:10 a.m. Research on Social Recommendation Algorithm Based on Fuzzy Subjective Trust Beibei Jin and Dong Liu Anhui Normal University, China
4 9:10-9:40 a.m. IIRank: A Novel Algorithm for Identifying Influencers in Micro-blog Social Networks Yufei Liu and Jie Cao Nanjing University of Finance and Economics, China
5 9:40-10:10 a.m. User and Topic Hybrid Context Embedding forFinance-Related Text Data Mining Chenyu Wang,
Zhongchen Miao,
Yuefeng Lin,
and Jian Gao
Shanghai Financial Futures Information Technology Co., Ltd, China
6 10:10-10:20 a.m. Coffee Break
7 10:20-10:50 a.m. Age label distribution estimation algorithm based on kernel extreme learning machine Wenquan Tian,
Shanshan Li,
and Jiakang Tang
Suzhou University, China
8 10:50-11:00 a.m. Workshop Closing