MSNDS 2019

Welcome to MSNDS 2019

The 10th International Workshop on Mining and Analyzing Social Networks for Decision Support

(MSNDS 2019)

In conjunction with IEEE/ACM ASONAM 2019

Vancouver, Canada

27-30 August, 2019

Mining and analyzing social networks is now becoming a very popular research area not only for data mining and web mining but also social network analysis. Data mining is a technique that has the ability to process and analyze large amounts of data and by this to discover valuable information from the data. In recent years, due to the booming of social communications and social network-based web services, data mining has become a very important and powerful technique to process and analyze such large amount of data.

Recently, many researchers are focusing on developing new data mining techniques and algorithms, or devoting to improve traditional mining techniques for social network analysis. However, it is meaningless, if the discovered valuable and useful data have not been applied in real application environment. Social data are the aggregations of communication interaction and experience of people, and it if useful to leverage this type of data for decision making. Thus, it could be an important time to shift the research focus to an application area, such as decision support.

The workshop was firstly organized in conjunction with ASONAM 2009 conference in Athens, Greece. MSNDS 2010 was in conjunction with ASONAM 2010 in Odense, Denmark. MSNDS 2011 was in conjunction with ASONAM 2011 in Kaohsiung, Taiwan. MSNDS 2012 was held with ASONAM 2012 in Istanbul and MSNDS 2013 was conjunction with ASONAM 2013 in Niagara Falls, Canada, MSNDS 2015 was conjunction with ASONAM 2015 in Paris, France, MSNDS 2016 was conjunction with ASONAM 2016 in San Francisco, USA, MSNDS 2017 was held in Sydney, Australia and MSNDS 2018 was held in Barcelona, Spain. Thus, it is also valuable to include MSNDS 2019 in ASONAM 2019 to bring together researchers who are interested in this topic.


This workshop invites papers of the following topics, but never exclusive:

  • Mining and analyzing social data for decision support
  • Mining social web services for decision support
  • Algorithms for mining social networks for decision support
  • Matching engines and interfaces for decision support systems
  • System architectures
  • Intelligent and multi-agent based decision support systems
  • Social decision support systems
  • Semantic Analysis for Decision Support
  • Opinion Mining and Sentiment Analysis
  • Big Data Issue in Mining and analyzing social data for decision support
  • Visualization
  • Experiment and implementation
  • Leveraging social data for decision support in healthcare
  • Case studies and empirical studies


  • Paper submission deadline: June 15, 2019
  • Acceptance notification: June 30, 2019
  • Camera-ready paper deadline: July 15, 2019
  • Author registration due: July 15, 2019
  • Conference events: August 27-30, 2019


The papers will be reviewed and assessed by the program committee. Full paper manuscripts must be in English with a length of 8 pages using the IEEE two-column template. We solicit also short paper with a maximum length of 4 pages. Submissions should include the title, author(s), affiliation(s), e-mail address(es), and abstract on the first page.

EasyChair submission link:

Papers will be accepted for the conference based on the reviewers' comments on their originality, timeliness, significance, relevance, and clarity of presentation.


Workshop Co-Chairs

  • I-hsien Ting, National University of Kaohsiung, Taiwan
  • Min-Yuh Day, Tamkang University, Taiwan
  • Ming-Tai Wu, Harbin Institute of Technology, Shenzhen, China

Program Committee

  • Sarabjot Anand, Warwick University, UK
  • YingZi Jin, Tokyo University, Japan
  • Ravi Kumar, Yahoo Research, USA
  • Ron Kohavi, Microsoft Research, USA
  • Raymond Kosala, Katholieke Universiteit Leuven, Belguim
  • Ee-Peng Lim, Nanyang Technology of University, Singapore
  • Brij Masand, Data Miners, Inc. USA
  • Yutaka Matsuo, National Inst. of Advanced Industrial Science and Tech., Japan
  • Ernestina Menasalvas, Universidad Polit├ęcnica de Madrid, Spain
  • Hsing-I Wang, The Overseas Chinese University, Taiwan
  • Dunja Mladenic, J. Stefan Institute, Slovenia
  • Ellen Spertus, Google and Mills College, USA
  • Jaideep Srivastava, University of Minnesota,USA
  • Ming-Hsiung Ying, Chung-Hua University, Taiwan
  • Andrew Tomkins, Yahoo Research, USA
  • Osmar Zaiane, University of Alberta, Canada
  • Li- Chen Cheng, National Taipei University of Technology, Taiwan

Previous MSNDS workshop

  • MSNDS 2018 - The 9th MSNDS workshop in Barcelona, Spain
  • MSNDS 2017 - The 8th MSNDS workshop in Sydney, Australia
  • MSNDS 2015 - The 6th MSNDS workshop in Paris, France
  • MSNDS 2013 - The 5th MSNDS workshop in Niagara Falls, Canada
  • MSNDS 2012 - The 4th MSNDS workshop in Istanbul, Turkey
  • MSNDS 2011 - The 3rd MSNDS workshop in Kaohsiung, Taiwan
  • MSNDS 2010 - The 2nd MSNDS workshop in Odense, Denmark
  • MSNDS 2009 - The 1st MSNDS workshop in Athens, Greece