Analyzing and Mining Social Networks for Decision Support and Recommender Systems

CFP: Journal of Intelligent Information Systems

Analyzing and Mining Social Networks for Decision Support and Recommender Systems

 

Topics:

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. One key test of this discovered data is how it can be used in real world decision-making situations. Social data are the aggregations of communication, interaction and experience of people and it is useful to leverage this type of data for decision-making. Thus, it could be an important time to balance the research focus and real world applications, such as decision support and recommender systems.

This Journal Special Issue 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 for mining and recommender systems
Intelligent and multi-agent based decision support systems
Social decision support systems
Semantic Analysis for Decision Support
Opinion Mining and Sentiment Analysis
Big Data Issues 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

Deadlines:

Submission Deadline: October 15, 2015
First Notification of Acceptance/Rejection:  December 15, 2015
Revised Manuscripts Submission Deadline: January 15, 2016
Final Notification of Acceptance/Rejection: February 15, 2016
Expected Publication Date: April-May 2016

 

Submission:

Please submit your manuscript to journal submission system and select article type "Analyzing and Mining Social Networks for Decision Support and Recommender Systems"

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