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Communications of the ACM
Some operations on intuitionistic fuzzy sets
Fuzzy Sets and Systems
Distances between intuitionistic fuzzy sets
Fuzzy Sets and Systems
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
Social matching: A framework and research agenda
ACM Transactions on Computer-Human Interaction (TOCHI)
Investigating interactions of trust and interest similarity
Decision Support Systems
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Identification of influencers - Measuring influence in customer networks
Decision Support Systems
TREPPS: A Trust-based Recommender System for Peer Production Services
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
How and why people Twitter: the role that micro-blogging plays in informal communication at work
Proceedings of the ACM 2009 international conference on Supporting group work
A hybrid of sequential rules and collaborative filtering for product recommendation
Information Sciences: an International Journal
Twitter power: Tweets as electronic word of mouth
Journal of the American Society for Information Science and Technology
Fuzzy Sets and Systems
Recommendation of similar users, resources and social networks in a Social Internetworking Scenario
Information Sciences: an International Journal
Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment
Mathematical and Computer Modelling: An International Journal
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Owing to the plentiful participation of knowledgeable users, an online social network could be seen as a large group of experts that support the decisions of online users. Collective opinions solicited from friends are largely beneficial for online purchase support and can create significant opportunities for sales. In this paper, a social appraisal mechanism composed using the methodologies of social companionship analysis, collective opinion analysis, and consensus decision analysis is proposed for the online users of the micro-blogosphere. The proposed mechanism can successfully summarize collective opinions and expedite the decision-making process that characterizes users' purchasing behaviors.