Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Integrated object-oriented framework for MCDM and DSS modelling
Decision Support Systems
Multiattribute decision making models and methods using intuitionistic fuzzy sets
Journal of Computer and System Sciences
Application of Social Network Analysis to Collaborative Team Formation
CTS '06 Proceedings of the International Symposium on Collaborative Technologies and Systems
A team formation model based on knowledge and collaboration
Expert Systems with Applications: An International Journal
Efficient influence maximization in social networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Finding a team of experts in social networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
A fuzzy-genetic decision support system for project team formation
Applied Soft Computing
Power in unity: forming teams in large-scale community systems
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Team Formation for Generalized Tasks in Expertise Social Networks
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
Discovering top-k teams of experts with/without a leader in social networks
Proceedings of the 20th ACM international conference on Information and knowledge management
An extension of TOPSIS for group decision making
Mathematical and Computer Modelling: An International Journal
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In this paper, we formulate an interesting problem of multicriteria decision-making task ranking in social networks (MCDM-TR). MCDM-TR contains two phases: (1) finding a set of decision-making experts for tasks who not only complete the decision-making of the given task but also have the minimal communication cost among them; (2) ranking the decision-made tasks according to a certain decision standard. In this paper, we focus on these two phases and propose an efficient algorithm for multicriteria decision-making tasks in social networks. A case study of academic conferences quality evaluation system (ACQES) is also studied to illustrate our strategy.