Intelligent social network analysis using granular computing

DOI10.1002/int.20314zbMath1160.68386OpenAlexW4256699895MaRDI QIDQ3548690

Ronald R. Yager

Publication date: 17 December 2008

Published in: International Journal of Intelligent Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/int.20314

zbMATH Keywords

PISNA

Mathematics Subject Classification ID

Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10) Graph theory (including graph drawing) in computer science (68R10) Models of societies, social and urban evolution (91D10)

Related Items (5)

Theory and applications of granular labelled partitions in multi-scale decision tables ⋮ Consensus efficiency in group decision making: a comprehensive comparative study and its optimal design ⋮ Link prediction techniques, applications, and performance: a survey ⋮ Optimal scale selection for multi-scale decision tables ⋮ Social network analysis based approach to group decision making problem with fuzzy preference relations

Cites Work

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• Generalized theory of uncertainty (GTU) -- principal concepts and ideas
• A computational approach to fuzzy quantifiers in natural languages
• Emergence of Scaling in Random Networks
• Mining Graph Data
• Collective dynamics of ‘small-world’ networks
• Data mining, rough sets and granular computing

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