Network Role Mining and Analysis

• Κύριος συγγραφέας: Doran, Derek (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: SpringerBriefs in Complexity,
• Θέματα: Computer science.; Big data.; Data mining.; System theory.; Personality.; Social psychology.; Computer Science.; Data Mining and Knowledge Discovery.; Applications of Graph Theory and Complex Networks.; Complex Systems.; Big Data/Analytics.; Personality and Social Psychology.

 This brief presents readers with a summary of classic, modern, and state-of-the-art methods for discovering the roles of entities in networks (including social networks) that range from small to large-scale. It classifies methods by their mathematical underpinning, whether they are driven by implications about entity behaviors in system, or if they are purely data driven. The brief also discusses when and how each method should be applied, and discusses some outstanding challenges toward the development of future role mining methods of each type. 

 Network Role Mining and Analysis: An Overview -- Implied Role Mining -- Equivalence-Based Role Mining -- Deterministic Blockmodeling -- Stochastic Blockmodeling -- Advanced Computational Methods -- Concluding Remarks.