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Network role mining and analysis
~
Doran, Derek.
Network role mining and analysis
Record Type:
Electronic resources : Monograph/item
Title/Author:
Network role mining and analysisby Derek Doran.
Author:
Doran, Derek.
Published:
Cham :Springer International Publishing :2017.
Description:
xi, 101 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Data mining.
Online resource:
http://dx.doi.org/10.1007/978-3-319-53886-0
ISBN:
9783319538860$q(electronic bk.)
Network role mining and analysis
Doran, Derek.
Network role mining and analysis
[electronic resource] /by Derek Doran. - Cham :Springer International Publishing :2017. - xi, 101 p. :ill., digital ;24 cm. - SpringerBriefs in complexity,2191-5326. - SpringerBriefs in complexity..
Network Role Mining and Analysis: An Overview -- Implied Role Mining -- Equivalence-Based Role Mining -- Deterministic Blockmodeling -- Stochastic Blockmodeling -- Advanced Computational Methods -- Concluding Remarks.
This brief presents readers with a summary of classic, modern, and state-of-the-art methods for discovering the roles of entities in networks (including social networks) that range from small to large-scale. It classifies methods by their mathematical underpinning, whether they are driven by implications about entity behaviors in system, or if they are purely data driven. The brief also discusses when and how each method should be applied, and discusses some outstanding challenges toward the development of future role mining methods of each type.
ISBN: 9783319538860$q(electronic bk.)
Standard No.: 10.1007/978-3-319-53886-0doiSubjects--Topical Terms:
184440
Data mining.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Network role mining and analysis
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Network Role Mining and Analysis: An Overview -- Implied Role Mining -- Equivalence-Based Role Mining -- Deterministic Blockmodeling -- Stochastic Blockmodeling -- Advanced Computational Methods -- Concluding Remarks.
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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.
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EB QA76.9.D343 D693 2017
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http://dx.doi.org/10.1007/978-3-319-53886-0
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