The 2nd International Workshop on Social Computing (IWSC’18):
Spatial Social Behavior Analytics in Urban Society

Workshop Information

In the past, people just utilize social network platforms to distribute their news or opinions. But now, people has been influenced by social interaction in their daily life decision, e.g., travel, flight booking, hotel recommendation, purchase of products, etc.. These purchase activities are highly related to people’s social communications as well as the locations where they are living. The popularity of smartphone usage provides the convenient way for companies to know their customers’ locations. When the online social users’ interaction meets with the availability of their locations, the new commercial strategy will be fired up. However, there is no such event to discuss these issues together. This proposed workshop will provide a great opportunity for researchers and practitioners to understand their challenging problems and discuss the future techniques in this area. Therefore, the workshop is timely and significant for social media, big data and the web from the academic and industry communities.



The 2nd International Workshop on Social Computing (IWSC2018) is a main international forum for scientists, engineers, and users to exchange and share their experiences, new ideas, and latest research results on all aspects of social computing. IWSC2018 will be held in Singapore, November 17th, 2018. It will be held in parallel with the 18th International Conference on Data Mining ( in Singapore, November 17-20, 2018.

In this workshop, we aim to attract researchers from all over the world working in the field of social computing, with a particular focus on social users’ behaviors, activities, interactions, news propagations, and social influence learning models in the context of available spatial or location information in urban cities. IWSC2018 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. Research topics include, but are not limited to:

  • location prediction in social media and web
  • social activities and behavioral analytic metrics
  • spatial social influence learning models
  • natural language processing for short text
  • graph processing
  • learning methods for social link prediction
  • information retrieval
  • evaluation of frameworks, metrics and algorithms
  • applications of any of the above methods and technologies

  • Submission Information

    Papers should be in English with no more than the required length (*full paper with 6-10 pages*) conforming to the formatting instructions for the IEEE 2-column format including references and figures. Each paper will be judged on its originality, significance, technical quality, relevance to IWSC2018, and presentation.

    Submissions of a paper as PDF files should be regarded as an undertaking that, should the paper be accepted, at least one author will attend the conference to present the work. Authors should make the submissions through the following site:

    In addition, high-quality papers will be recommended to publish in a special issue of Complexity (SCI Journal, Impact Factor = 4.621) - Analysis and Applications of Location-aware Big Complex Network Data.

    Contribution Types

    - Research and Industry Full Papers (4~10 pages)

    Important Dates

  • Aug. 1, 2018: Abstract Submission Deadline.
  • Aug. 7, 2018: Paper Submission Deadline.
  • Aug. 28, 2018: Notification of acceptance.
  • Sep. 11, 2018: Camera Ready Papers Due.
  • Nov. 17, 2018: IWSC Workshop Day.


    Workshop General Co-Chairs:

  • Jiuyong Li, University of South Australia
  • Chengfei Liu, Swinburne University of Technology

  • Workshop PC Co-Chairs:

  • Jianxin Li, University of Western Australia
  • Lisi Chen, University of Wollongong
  • Ke Deng, RMIT University

  • Technical Program Committee:

  • Yi Chen, New Jersey Institute of Technology, USA
  • Du Huynh, University of Western Australia, Australia
  • Tomayess Issa Curtin University, Australia
  • Liang Chen, Sun Yat-sen University, China
  • Hongzhi Yin, University of Queensland, Australia
  • Ling Chen, University of Technology Sydney, Australia
  • Ying Zhang, University of Technology Sydney, Australia
  • Ke Deng, RMIT, Australia
  • Xiaochun Yang, Northeastern University, China
  • Feng Xia, Dalian University of Technology, China
  • Amitava Datta, University of Western Australia, Australia
  • Jianzhong Qi, University of Melbourne, Australia
  • Zhifeng Bao, RMIT, Australia
  • Kai Qin, RMIT, Australia
  • Runhe Huang, Hosei University, Japan
  • Lijun Chang, University of NSW, Australia
  • Muhammad Aamir Cheema, Monash University, Australia
  • Jianxin Li, University of Western Australia, Australia
  • Jenny Zhang, RMIT, Australia
  • Mohamed Mokbel, University of Minnesota
  • Hua Lu, Aalborg University, Denmark
  • Andreas Zufle, George Mason University, USA
  • Tobias Emrich, Ludwig-Maximilians-Universität München
  • Wei Zhang, East China Normal University, China
  • Junjie Yao, East China Normal University, China
  • Rui Zhou Victoria University
  • Bin Wang Northeastern University, China
  • Yang Gao, Institute of Software, Chinese Academy of Sciences