MSNDS 2016 - 7th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2016)

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.
History
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 and MSNDS 2015 was conjunction with ASONAM 2015 in Paris, France. Thus, it is also valuable to include this workshop again in ASONAM 2016 to bring together researchers who are interested in this topic.
Topics
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