Coverart for item
The Resource Opinion dynamics and the evolution of social power in social networks, Mengbin Ye

Opinion dynamics and the evolution of social power in social networks, Mengbin Ye

Label
Opinion dynamics and the evolution of social power in social networks
Title
Opinion dynamics and the evolution of social power in social networks
Statement of responsibility
Mengbin Ye
Creator
Author
Subject
Language
eng
Member of
Cataloging source
EBLCP
http://library.link/vocab/creatorName
Ye, Mengbin
Dewey number
006.7/54
Index
no index present
LC call number
HM742
LC item number
.Y46 2019
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Springer Theses
http://library.link/vocab/subjectName
Online social networks.
Label
Opinion dynamics and the evolution of social power in social networks, Mengbin Ye
Instantiates
Publication
Note
  • "Doctoral thesis accepted by the Australian National University, Canberra, Australia."
  • Description based upon print version of record
  • 6.3.1 Extending the Results in Sect.5.3
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Intro; Supervisor's Foreword; Parts of this thesis have been published in the following articles; Acknowledgements; Contents; 1 Introduction; 1.1 Social Network Analysis; 1.2 Opinion Dynamics and Influence Networks; 1.2.1 The Fundamental French-Harary-DeGroot Model; 1.2.2 Beyond Consensus and Towards Complex Social Phenomena; 1.2.3 Social Phenomena of Relevance; 1.2.4 Motivations and Key Concepts; 1.2.5 Relation to Coordination of Multi-agent Systems; 1.3 Thesis Outline and Statements of Collaborations; References; 2 Preliminaries; 2.1 Notations and Definitions; 2.2 Graph Theory
  • 2.3 Basic Models of Opinion Dynamics2.3.1 The DeGroot Model; 2.3.2 The Friedkin-Johnsen Model; 2.3.3 Comments on the Models; References; Part I How Differences in Private and Expressed Opinions Arise; 3 A Novel Model for Opinion Dynamics Under Pressure to Conform; 3.1 Introduction; 3.1.1 Chapter Organization; 3.2 A Model with Expressed and Private Opinions; 3.2.1 The Opinion Dynamics Model; 3.2.2 Local Public Opinion; 3.2.3 Obtaining a Compact Form for the Influence Network; 3.3 Convergence Properties of the Model; 3.3.1 Causes of Persistent Disagreement and Differences in Opinions
  • 3.3.2 Estimating Disagreement in the Private Opinions3.3.3 An Individual's Resilience Affects Everyone; 3.3.4 Local Public Opinions; 3.3.5 Simulations; 3.4 Conclusion; 3.5 Appendix: Proofs and Simulations; 3.5.1 Proof of Lemma 3.1; 3.5.2 Proof of Lemma 3.2; 3.5.3 Proof of Lemma 3.3; 3.5.4 Simulation Counter-Example; 3.5.5 Proof of Corollary 3.2; References; 4 The EPO Model's Connections with Social Psychology Concepts; 4.1 Introduction; 4.1.1 Introduction to Asch's Experiments; 4.1.2 Pluralistic Ignorance in Social Networks; 4.1.3 Chapter Organization
  • 4.2 Investigation of Asch's Conformity Experiments4.2.1 Theoretical Analysis; 4.2.2 Simulations; 4.3 A Few Zealots Can Create Pluralistic Ignorance; 4.3.1 Base Simulation Set-Up; 4.3.2 Simulation Set-Up and Results For Small-World Networks; 4.3.3 Simulation Set-Up and Results For Scale-Free Networks; 4.3.4 Discussion for Small-World Networks; 4.3.5 Discussion for Scale-Free Networks; 4.3.6 Key Observations and Insights; 4.4 Conclusions; References; Part II Evolution of Individual Social Power; 5 Evolution of Social Power in Networks with Constant Topology; 5.1 Introduction
  • 5.1.1 The DeGroot-Friedkin Model5.1.2 Chapter Organization; 5.2 Exponential Convergence to Constant Social Power; 5.3 Further Analysis of Dynamical Behaviour; 5.3.1 A Contraction-Like Property; 5.3.2 Upper Bound on Individual's Social Power at Equilibrium; 5.3.3 Convergence Rates; 5.4 Conclusions; References; 6 Dynamic Social Networks: Exponential Forgetting of Perceived Social Power; 6.1 Introduction; 6.1.1 Motivating Examples for Issue-Varying Topology; 6.1.2 Chapter Organization; 6.2 The Dynamic Topology Model and Objective; 6.3 Exponential Convergence to a Unique Limiting Trajectory
Dimensions
unknown
Extent
1 online resource (xxiii, 209 pages).
File format
unknown
Form of item
online
Isbn
9783030106065
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
Label
Opinion dynamics and the evolution of social power in social networks, Mengbin Ye
Publication
Note
  • "Doctoral thesis accepted by the Australian National University, Canberra, Australia."
  • Description based upon print version of record
  • 6.3.1 Extending the Results in Sect.5.3
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Intro; Supervisor's Foreword; Parts of this thesis have been published in the following articles; Acknowledgements; Contents; 1 Introduction; 1.1 Social Network Analysis; 1.2 Opinion Dynamics and Influence Networks; 1.2.1 The Fundamental French-Harary-DeGroot Model; 1.2.2 Beyond Consensus and Towards Complex Social Phenomena; 1.2.3 Social Phenomena of Relevance; 1.2.4 Motivations and Key Concepts; 1.2.5 Relation to Coordination of Multi-agent Systems; 1.3 Thesis Outline and Statements of Collaborations; References; 2 Preliminaries; 2.1 Notations and Definitions; 2.2 Graph Theory
  • 2.3 Basic Models of Opinion Dynamics2.3.1 The DeGroot Model; 2.3.2 The Friedkin-Johnsen Model; 2.3.3 Comments on the Models; References; Part I How Differences in Private and Expressed Opinions Arise; 3 A Novel Model for Opinion Dynamics Under Pressure to Conform; 3.1 Introduction; 3.1.1 Chapter Organization; 3.2 A Model with Expressed and Private Opinions; 3.2.1 The Opinion Dynamics Model; 3.2.2 Local Public Opinion; 3.2.3 Obtaining a Compact Form for the Influence Network; 3.3 Convergence Properties of the Model; 3.3.1 Causes of Persistent Disagreement and Differences in Opinions
  • 3.3.2 Estimating Disagreement in the Private Opinions3.3.3 An Individual's Resilience Affects Everyone; 3.3.4 Local Public Opinions; 3.3.5 Simulations; 3.4 Conclusion; 3.5 Appendix: Proofs and Simulations; 3.5.1 Proof of Lemma 3.1; 3.5.2 Proof of Lemma 3.2; 3.5.3 Proof of Lemma 3.3; 3.5.4 Simulation Counter-Example; 3.5.5 Proof of Corollary 3.2; References; 4 The EPO Model's Connections with Social Psychology Concepts; 4.1 Introduction; 4.1.1 Introduction to Asch's Experiments; 4.1.2 Pluralistic Ignorance in Social Networks; 4.1.3 Chapter Organization
  • 4.2 Investigation of Asch's Conformity Experiments4.2.1 Theoretical Analysis; 4.2.2 Simulations; 4.3 A Few Zealots Can Create Pluralistic Ignorance; 4.3.1 Base Simulation Set-Up; 4.3.2 Simulation Set-Up and Results For Small-World Networks; 4.3.3 Simulation Set-Up and Results For Scale-Free Networks; 4.3.4 Discussion for Small-World Networks; 4.3.5 Discussion for Scale-Free Networks; 4.3.6 Key Observations and Insights; 4.4 Conclusions; References; Part II Evolution of Individual Social Power; 5 Evolution of Social Power in Networks with Constant Topology; 5.1 Introduction
  • 5.1.1 The DeGroot-Friedkin Model5.1.2 Chapter Organization; 5.2 Exponential Convergence to Constant Social Power; 5.3 Further Analysis of Dynamical Behaviour; 5.3.1 A Contraction-Like Property; 5.3.2 Upper Bound on Individual's Social Power at Equilibrium; 5.3.3 Convergence Rates; 5.4 Conclusions; References; 6 Dynamic Social Networks: Exponential Forgetting of Perceived Social Power; 6.1 Introduction; 6.1.1 Motivating Examples for Issue-Varying Topology; 6.1.2 Chapter Organization; 6.2 The Dynamic Topology Model and Objective; 6.3 Exponential Convergence to a Unique Limiting Trajectory
Dimensions
unknown
Extent
1 online resource (xxiii, 209 pages).
File format
unknown
Form of item
online
Isbn
9783030106065
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote

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