In this year’s 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 recent years, there are more and more industries and companies that began to pay more attention to online advertisement in social networks. However, there is not clear criteria for them to place their advertisements on the social users’ accounts. One of the main hurdles is that there is a big gap between online interaction and physical purchases. This proposed workshop will provide an opportunity for industries and academics to learn the better way to fill in this gap. In different locations or regions, the users may be influenced by or may influence each other at different levels, even if they express the similar interactions. Discovering this knowledge is much challenging because the social media data is big and dynamic. And the social message are too short to carry complete information. Furthermore, it is also impractical to assume all social users would like to disclose their location information in their social networks.

In this context, IWSC 2017 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

Contribution Types:

  • - Research or Industry Full Papers (4-8 pages)
  • - Short or Demo Papers (1-2 pages)


IWSC 2017 invites papers describing original contributions in all fields of database, data mining, natural language processing, social media, web mining and applications. Papers should be in English with no more than the required length (***full paper with 4-8 pages and short paper with 1-2 pages) conforming to the formatting instructions for the ACM SIG Proceedings Template including references and figures. Each paper will be judged on its originality, significance, technical quality, relevance to IWSC 2017, 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 site:

Important Dates:

  • 3rd January 2017: Abstract Submission Deadline. Extended to 8th January 2017
  • 7th January 2017: Paper Submission Deadline. Extended to 15th January 2017
  • 31st January 2017: Notification of acceptance.
  • 14th February 2017: Camera Ready Papers Due. Extended to 23th February 2017
  • 4th April 2017: IWSC Workshop Day.

Workshop Organization:

General Co-Chairs:

Rui Zhang, University of Melbourne, Australia
Mark Reynalds, University of Western Australia, Australia

PC Co-Chairs:

Jianxin Li, University of Western Australia, Australia
Muhammad Aamir Cheema, Monash University, Australia

Publicity Co-Chairs:

Ling Chen, University of Technology Sydney, Australia
Hongzhi Yin, University of Queensland, Australia

Technical Program Committee (More to be added):

Mohammed Eunus Ali, Bangladesh University of Engineering and Technology (BUET), Bangladesh
Asif Iqbal Baba, Tuskegee University, USA
Lijun Chang, University of New South Wales, Australia
Liang Chen, Sun Yat-sen University, China
Taotao Cai, University of Western Australia, Australia
Ke Deng, RMIT University, Australia
Ahmed Eldawy, University of California, USA
Tanzima Hashem, Bangladesh University of Engineering & Technology, Bangladesh
Du Huynh, The University of western Australia
Tomayess Issa, Curtin University of Technology, Australia
Arijit Khan, NTU, Singapore
Khalid Latif, Aalto University, Finland
Hua Lu, Aalborg University, Denmark
Amr Magdy, University of Minnesota, USA
Yasir Mehmood, LUMS, Pakistan
Mohamed Mokbel, University of Minnesota, USA
Muhammad Asif Naeem, The University of Auckland, New Zealand
Jianzhong Qi, University of Melbourne, Australia
Kai Qin, RMIT University, Australia
Xiaoyang Wang, UNSW, Australia
Bin Wang, NEU, China
Hao Wang, The university of Tokyo, Japan
Feng Xia, Dalian University of Technology, China
Shiyu Yang, UNSW, Australia
Weiren Yu, Imperial College, UK
Xiuzhen Zhang, RMIT University, Australia
Rui Zhou, The University of Adelaide, Australia
Andreas Zuefle, George Mason University, USA

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