Normal view MARC view ISBD view

Network Role Mining and Analysis.

By: Doran, Derek.
Material type: TextTextSeries: eBooks on Demand.SpringerBriefs in Complexity: Publisher: Cham : Springer International Publishing, 2017Copyright date: ©2017Description: 1 online resource (109 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9783319538860.Subject(s): ConsciousnessAdditional physical formats: Print version:: Network Role Mining and AnalysisDDC classification: 006.312 Online resources: Click here to view this ebook.
Contents:
Preface -- Acknowledgements -- Contents -- 1 Network Role Mining and Analysis: An Overview -- 1.1 Introduction -- 1.2 Defining Roles -- 1.2.1 Networks -- 1.2.2 Positions in Networks -- 1.3 Mining Roles -- 1.3.1 Relationship to Graph Partitioning and Community Detection -- 1.4 Purpose and Outline of This Monograph -- References -- 2 Implied Role Mining -- 2.1 Introduction -- 2.2 The Implied Role Mining Process -- 2.3 Illustrations with Usenet -- 2.3.1 Golder et al.'s Taxonomy -- 2.3.2 Nolker et al.'s Hierarchy -- 2.4 Analysis of Implied Role Mining -- 2.4.1 Qualitative Nature -- 2.4.2 Compatibility -- 2.4.3 Simplicity and Interpretability -- 2.5 Conclusion -- References -- 3 Equivalence-Based Role Mining -- 3.1 Introduction -- 3.2 Structural Equivalence -- 3.2.1 Finding Structural Equivalences -- 3.3 Automorphic Equivalence -- 3.3.1 Finding Automorphic Equivalences -- 3.3.2 Quantifying Automorphic Similarity -- 3.4 Regular Equivalence -- 3.4.1 Finding Regular Equivalences -- 3.4.2 Quantifying Regular Similarity -- 3.5 Conclusion -- References -- 4 Deterministic Blockmodeling -- 4.1 Introduction -- 4.2 The Blockmodeling Framework -- 4.2.1 Similarity Measures -- 4.2.2 Blocktypes -- 4.3 Goodness of Fit -- 4.3.1 A Goodness-of-Fit Measure for Positional Analysis -- 4.3.2 A Goodness-of-Fit Measure for Network Compression -- 4.4 Conclusion -- References -- 5 Stochastic Blockmodeling -- 5.1 Introduction -- 5.2 SBM Specification -- 5.3 The Infinite Relational Model -- 5.3.1 Parameter Inference for the IRM -- 5.3.2 Summary -- 5.4 The Dynamic Stochastic Blockmodel -- 5.4.1 DSBM Network Generation -- 5.4.2 Parameter Inference for the DSBM -- 5.5 Conclusion -- References -- 6 Advanced Computational Methods -- 6.1 Factor Graphs: The Social Roles and Statuses Factor Graph Model -- 6.1.1 Social Features -- 6.1.2 A Factor Graph Model.
6.2 Multi-view Learning: Dual-View Uncertainty Regularization -- 6.2.1 Graph Co-regularization -- 6.2.2 Uncertainty Regularization and Objective Function -- 6.3 Bayesian Modeling: Co-discovery of Roles in Communities -- 6.4 Matrix Factorization: RolX -- 6.5 Iterative Quadratic Programming: Synergistic Co-discovery ƒ -- 6.5.1 Initializing Communities (InitCom) -- 6.5.2 Initializing Roles (InitRole) -- 6.5.3 Updating Communities -- 6.5.4 Updating Roles -- 6.6 Conclusion -- References -- 7 Concluding Remarks -- 7.1 Emerging Trends in Role Mining -- 7.2 Tension Between Rigor and Interpretability -- References.
Tags from this library: No tags from this library for this title. Log in to add tags.
Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
QA75.5-76.95 (Browse shelf) http://ebookcentral.proquest.com/lib/uttyler/detail.action?docID=4826540 Available EBC4826540

Preface -- Acknowledgements -- Contents -- 1 Network Role Mining and Analysis: An Overview -- 1.1 Introduction -- 1.2 Defining Roles -- 1.2.1 Networks -- 1.2.2 Positions in Networks -- 1.3 Mining Roles -- 1.3.1 Relationship to Graph Partitioning and Community Detection -- 1.4 Purpose and Outline of This Monograph -- References -- 2 Implied Role Mining -- 2.1 Introduction -- 2.2 The Implied Role Mining Process -- 2.3 Illustrations with Usenet -- 2.3.1 Golder et al.'s Taxonomy -- 2.3.2 Nolker et al.'s Hierarchy -- 2.4 Analysis of Implied Role Mining -- 2.4.1 Qualitative Nature -- 2.4.2 Compatibility -- 2.4.3 Simplicity and Interpretability -- 2.5 Conclusion -- References -- 3 Equivalence-Based Role Mining -- 3.1 Introduction -- 3.2 Structural Equivalence -- 3.2.1 Finding Structural Equivalences -- 3.3 Automorphic Equivalence -- 3.3.1 Finding Automorphic Equivalences -- 3.3.2 Quantifying Automorphic Similarity -- 3.4 Regular Equivalence -- 3.4.1 Finding Regular Equivalences -- 3.4.2 Quantifying Regular Similarity -- 3.5 Conclusion -- References -- 4 Deterministic Blockmodeling -- 4.1 Introduction -- 4.2 The Blockmodeling Framework -- 4.2.1 Similarity Measures -- 4.2.2 Blocktypes -- 4.3 Goodness of Fit -- 4.3.1 A Goodness-of-Fit Measure for Positional Analysis -- 4.3.2 A Goodness-of-Fit Measure for Network Compression -- 4.4 Conclusion -- References -- 5 Stochastic Blockmodeling -- 5.1 Introduction -- 5.2 SBM Specification -- 5.3 The Infinite Relational Model -- 5.3.1 Parameter Inference for the IRM -- 5.3.2 Summary -- 5.4 The Dynamic Stochastic Blockmodel -- 5.4.1 DSBM Network Generation -- 5.4.2 Parameter Inference for the DSBM -- 5.5 Conclusion -- References -- 6 Advanced Computational Methods -- 6.1 Factor Graphs: The Social Roles and Statuses Factor Graph Model -- 6.1.1 Social Features -- 6.1.2 A Factor Graph Model.

6.2 Multi-view Learning: Dual-View Uncertainty Regularization -- 6.2.1 Graph Co-regularization -- 6.2.2 Uncertainty Regularization and Objective Function -- 6.3 Bayesian Modeling: Co-discovery of Roles in Communities -- 6.4 Matrix Factorization: RolX -- 6.5 Iterative Quadratic Programming: Synergistic Co-discovery ƒ -- 6.5.1 Initializing Communities (InitCom) -- 6.5.2 Initializing Roles (InitRole) -- 6.5.3 Updating Communities -- 6.5.4 Updating Roles -- 6.6 Conclusion -- References -- 7 Concluding Remarks -- 7.1 Emerging Trends in Role Mining -- 7.2 Tension Between Rigor and Interpretability -- References.

Description based on publisher supplied metadata and other sources.

There are no comments for this item.

Log in to your account to post a comment.