Python for graph and network analysis. (2017)
- Record Type:
- Book
- Title:
- Python for graph and network analysis. (2017)
- Main Title:
- Python for graph and network analysis
- Further Information:
- Note: Mohammed Zuhair Al-Taie, Seifedine Kadry.
- Authors:
- Al-Taie, Mohammed Zuhair
Kadry, Seifedine, 1977- - Contents:
- Preface; New Age of€Web Usage; Learn, in Simple Words, Theory and Practice of Social Network Analysis; Contents; Chapter 1: Theoretical Concepts of€Network Analysis; 1.1 Sociological Meaning of€Network Relations; 1.2 Network Measurements; 1.2.1 Network Connection; 1.2.2 Transitivity; 1.2.3 Multiplexity; 1.2.4 Homophily; 1.2.5 Dyads and€Mutuality; 1.2.6 Balance and€Triads; 1.2.7 Reciprocity; 1.3 Network Distribution; 1.3.1 Distance Between Two Nodes; 1.3.2 Degree Centrality; 1.3.3 Closeness Centrality; 1.3.4 Betweenness Centrality; 1.3.5 Eigenvector Centrality; 1.3.6 PageRank. 1.3.7 Geodesic Distance and€Shortest Path1.3.8 Eccentricity; 1.3.9 Density; 1.4 Network Segmentation; 1.4.1 Cohesive Subgroups; 1.4.2 Cliques; 1.4.3 K-Cores; 1.4.4 Clustering Coefficient; 1.4.5 Core/Periphery; 1.4.6 Blockmodels; 1.4.7 Hierarchical Clustering; 1.5 Recent Developments in€Network Analysis; 1.5.1 Community Detection; 1.5.2 Link Prediction; 1.5.3 Spatial Networks; 1.5.4 Protein-Protein Interaction Networks; 1.5.5 Recommendation Systems; 1.6 iGraph; Chapter 2: Network Basics; 2.1 What Is a€Network?; 2.2 Types of€Networks; 2.3 Properties of€Networks; 2.4 Network Measures. 2.5 NetworkX2.6 Installation; 2.7 Matrices; 2.8 Types of€Matrices in€Social Networks; 2.8.1 Adjacency Matrix; 2.8.2 Edge List Matrix; 2.8.3 Adjacency List; 2.8.4 Numpy Matrix; 2.8.5 Sparse Matrix; 2.9 Basic Matrix Operations; 2.10 Data Visualization; Chapter 3: Graph Theory; 3.1 Origins of€Graph Theory; 3.2 Graph Basics; 3.3Preface; New Age of€Web Usage; Learn, in Simple Words, Theory and Practice of Social Network Analysis; Contents; Chapter 1: Theoretical Concepts of€Network Analysis; 1.1 Sociological Meaning of€Network Relations; 1.2 Network Measurements; 1.2.1 Network Connection; 1.2.2 Transitivity; 1.2.3 Multiplexity; 1.2.4 Homophily; 1.2.5 Dyads and€Mutuality; 1.2.6 Balance and€Triads; 1.2.7 Reciprocity; 1.3 Network Distribution; 1.3.1 Distance Between Two Nodes; 1.3.2 Degree Centrality; 1.3.3 Closeness Centrality; 1.3.4 Betweenness Centrality; 1.3.5 Eigenvector Centrality; 1.3.6 PageRank. 1.3.7 Geodesic Distance and€Shortest Path1.3.8 Eccentricity; 1.3.9 Density; 1.4 Network Segmentation; 1.4.1 Cohesive Subgroups; 1.4.2 Cliques; 1.4.3 K-Cores; 1.4.4 Clustering Coefficient; 1.4.5 Core/Periphery; 1.4.6 Blockmodels; 1.4.7 Hierarchical Clustering; 1.5 Recent Developments in€Network Analysis; 1.5.1 Community Detection; 1.5.2 Link Prediction; 1.5.3 Spatial Networks; 1.5.4 Protein-Protein Interaction Networks; 1.5.5 Recommendation Systems; 1.6 iGraph; Chapter 2: Network Basics; 2.1 What Is a€Network?; 2.2 Types of€Networks; 2.3 Properties of€Networks; 2.4 Network Measures. 2.5 NetworkX2.6 Installation; 2.7 Matrices; 2.8 Types of€Matrices in€Social Networks; 2.8.1 Adjacency Matrix; 2.8.2 Edge List Matrix; 2.8.3 Adjacency List; 2.8.4 Numpy Matrix; 2.8.5 Sparse Matrix; 2.9 Basic Matrix Operations; 2.10 Data Visualization; Chapter 3: Graph Theory; 3.1 Origins of€Graph Theory; 3.2 Graph Basics; 3.3 Vertices; 3.4 Types of€Graphs; 3.5 Graph Traversals; 3.5.1 Depth-First Traversal (DFS); 3.5.2 Breadth-First Traversal (BFS); 3.5.3 Dijkstra's Algorithm; 3.6 Operations on€Graphs; Reference; Chapter 4: Social Networks; 4.1 Social Networks. 4.2 Properties of€a€Social Network4.2.1 Scale-Free Networks; 4.2.2 Small-World Networks; 4.2.3 Network Navigation; 4.2.4 Dunbar's Number; 4.3 Data Collection in€Social Networks; 4.4 Six Degrees of€Separation; 4.5 Online Social Networks; 4.6 Online Social Data Collection; 4.7 Data Sampling; 4.8 Social Network Analysis; 4.9 Social Network Analysis vs. Link Analysis; 4.10 Historical Development; 4.11 Importance of€Social Network Analysis; 4.12 Social Network Analysis Modeling Tools; References; Chapter 5: Node-Level Analysis; 5.1 Ego-Network Analysis. 5.2 Identifying Influential Individuals in€the€Network5.2.1 Degree Centrality; 5.2.2 Closeness Centrality; 5.2.3 Betweenness Centrality; 5.2.4 Eigenvector Centrality; 5.3 PageRank; 5.4 Neighbors; 5.5 Bridges; 5.6 Which Centrality Algorithm to€Use?; Chapter 6: Group-Level Analysis; 6.1 Cohesive Subgroups; 6.2 Cliques; 6.3 Clustering Coefficient; 6.4 Triadic Analysis; 6.5 Structural Holes; 6.6 Brokerage; 6.7 Transitivity; 6.8 Coreness; 6.9 Overlapping Communities; 6.10 Dynamic Community Finding; 6.11 M-Slice; 6.12 K-Cores; 6.13 Community Detection; 6.13.1 Graph Partitioning. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2017
- Extent:
- 1 online resource
- Subjects:
- 005.13/3
Computer science
Python (Computer program language)
Graph theory -- Data processing
Quantitative research
Online social networks -- Data processing
Computer system performance
Social sciences_xData processing
Python (Computer program language)
COMPUTERS -- Web -- Social Media
Graph theory -- Data processing
Python (Computer program language)
Quantitative research
Computers -- Data Processing
Computers -- Information Technology
Computers -- Programming Languages -- Python
Society & social sciences
Information retrieval
Programming & scripting languages: general
Computers -- Hardware -- Handheld Devices
Systems analysis & design
Computer Science
System Performance and Evaluation
Computer Appl. in Social and Behavioral Sciences
Information Systems Applications (incl. Internet)
Python
Electronic books - Languages:
- English
- ISBNs:
- 9783319530048
3319530046 - Related ISBNs:
- 9783319530031
3319530038 - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed April 4, 2017). - 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).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.348998
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