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
Resource Information
The item Opinion dynamics and the evolution of social power in social networks, Mengbin Ye represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Opinion dynamics and the evolution of social power in social networks, Mengbin Ye represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.
This item is available to borrow from 1 library branch.
- Extent
- 1 online resource (xxiii, 209 pages).
- 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
- 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
- Isbn
- 9783030106065
- 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
- Language
- eng
- 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
- 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
- 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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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Opinion-dynamics-and-the-evolution-of-social/CRnyNQ8fyc8/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Opinion-dynamics-and-the-evolution-of-social/CRnyNQ8fyc8/">Opinion dynamics and the evolution of social power in social networks, Mengbin Ye</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>
