Multiplex networks : basic formalism and structural properties /: basic formalism and structural properties. ([2018])
- Record Type:
- Book
- Title:
- Multiplex networks : basic formalism and structural properties /: basic formalism and structural properties. ([2018])
- Main Title:
- Multiplex networks : basic formalism and structural properties
- Further Information:
- Note: Emanuele Cozzo, Guilherme Ferraz de Arruda, Francisco Aparecido Rodrigues, Yamir Moreno.
- Authors:
- Cozzo, Emanuele
Arruda, Guilherme Ferraz de
Rodrigues, Francisco Aparecido
Moreno, Yamir - Contents:
- Intro; Contents; 1 Introduction; 1.1 From Simple Networks to Multiplex Networks; 2 Multiplex Networks: Basic Definition and Formalism; 2.1 Graph Representation; 2.2 Matrix Representation; 2.2.1 The Supra-Adjacency Matrix; 2.2.2 The Supra-Laplacian Matrix; 2.2.3 Multiplex Walk Matrices; 2.3 Coarse-Graining Representation of a Multiplex Network; 2.3.1 Mathematical Background; 2.3.1.1 Adjacency and Laplacian Matrices; 2.3.1.2 Regular Quotients; 2.3.2 The Aggregate Network; 2.3.3 The Network of Layers; 2.4 Supra-Walk Matrices and Loopless Aggregate Network; 3 Structural Metrics. 3.1 Structure of Triadic Relations in Multiplex Networks3.1.1 Triads on Multiplex Networks; 3.1.2 Expressing Clustering Coefficients Using Elementary 3-Cycles; 3.1.3 Clustering Coefficients for Aggregated Networks; 3.1.4 Clustering Coefficients in Erdős-Rényi (ER) Networks; 3.2 Transitivity in Empirical Multiplex Networks; 3.3 Subgraph Centrality; 3.3.1 Subgraph Centrality, Communicability, and Estrada Index in Single-Layer Networks; 3.3.2 Supra-Walks and Subgraph Centrality for Multiplex Networks; 4 Spectra; 4.1 The Largest Eigenvalue of the Supra-Adjacency Matrix; 4.1.1 Statistics of Walks. 4.2 Dimensionality Reduction and Spectral Properties4.2.1 Interlacing Eigenvalues; 4.2.2 Equitable Partitions; 4.2.3 Laplacian Eigenvalues; 4.3 Network of Layers and Aggregate Network; 4.4 Layer Subnetworks; 4.5 Discussion and Some Applications; 4.5.1 Adjacency Spectrum; 4.5.2 Laplacian Spectrum; 4.6 The AlgebraicIntro; Contents; 1 Introduction; 1.1 From Simple Networks to Multiplex Networks; 2 Multiplex Networks: Basic Definition and Formalism; 2.1 Graph Representation; 2.2 Matrix Representation; 2.2.1 The Supra-Adjacency Matrix; 2.2.2 The Supra-Laplacian Matrix; 2.2.3 Multiplex Walk Matrices; 2.3 Coarse-Graining Representation of a Multiplex Network; 2.3.1 Mathematical Background; 2.3.1.1 Adjacency and Laplacian Matrices; 2.3.1.2 Regular Quotients; 2.3.2 The Aggregate Network; 2.3.3 The Network of Layers; 2.4 Supra-Walk Matrices and Loopless Aggregate Network; 3 Structural Metrics. 3.1 Structure of Triadic Relations in Multiplex Networks3.1.1 Triads on Multiplex Networks; 3.1.2 Expressing Clustering Coefficients Using Elementary 3-Cycles; 3.1.3 Clustering Coefficients for Aggregated Networks; 3.1.4 Clustering Coefficients in Erdős-Rényi (ER) Networks; 3.2 Transitivity in Empirical Multiplex Networks; 3.3 Subgraph Centrality; 3.3.1 Subgraph Centrality, Communicability, and Estrada Index in Single-Layer Networks; 3.3.2 Supra-Walks and Subgraph Centrality for Multiplex Networks; 4 Spectra; 4.1 The Largest Eigenvalue of the Supra-Adjacency Matrix; 4.1.1 Statistics of Walks. 4.2 Dimensionality Reduction and Spectral Properties4.2.1 Interlacing Eigenvalues; 4.2.2 Equitable Partitions; 4.2.3 Laplacian Eigenvalues; 4.3 Network of Layers and Aggregate Network; 4.4 Layer Subnetworks; 4.5 Discussion and Some Applications; 4.5.1 Adjacency Spectrum; 4.5.2 Laplacian Spectrum; 4.6 The Algebraic Connectivity; 5 Structural Organization and Transitions; 5.1 Eigengap and Structural Transitions; 5.2 The Aggregate-Equivalent Multiplex and the Structural Organization of a Multiplex Network; 5.3 Dynamical Consequences and Discussions. 5.4 Structural Transition Triggered by Layer Degradation5.5 Continuous Layers Degradation; 5.5.1 Exact Value of t* for Identical Weights; 5.5.2 General Mechanism; 5.6 Links Failure and Attacks; 5.7 The Shannon Entropy of the Fiedler Vector; 5.7.1 Transition-Like Behavior for No Node-Aligned Multiplex Networks; 6 Polynomial Eigenvalue Formulation; 6.1 Definition of the Problem; 6.1.1 Quadratic Eigenvalue Problem; 6.1.2 2-Layer Multiplex Networks; 6.2 Spectral Analysis; 6.2.1 Bounds; 6.2.2 Comments on Symmetric Problems: HQEP; 6.2.3 Limits for Sparse Inter-Layer Coupling; 6.3 Applications. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource, illustrations
- Subjects:
- 003
Physics
System analysis
Graph theory
Matrices
SCIENCE -- System Theory
TECHNOLOGY & ENGINEERING -- Operations Research
Graph theory
Matrices
System analysis
Mathematics -- Graphic Methods
Business & Economics -- Industries -- Computer Industry
Combinatorics & graph theory
Business mathematics & systems
Big data
Mathematical physics
Electronic books - Languages:
- English
- ISBNs:
- 9783319922553
3319922556 - Related ISBNs:
- 9783319922546
3319922548 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (EBSCO, viewed July 03, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.341181
- Ingest File:
- 01_290.xml