Complex network analysis in Python: recognize - construct - visualize - analyze - interpret

Cover
Table of Contents
Acknowledgments
Preface
	About the Reader
	About the Book
	About the Software
	About the Notation
	Online Resources
1. The Art of Seeing Networks
	Know Thy Networks
	Enter Complex Network Analysis
	Draw Your First Network with Paper and Pencil
Part I—Elementary Networks and Tools
	2. Surveying the Tools of the Craft
		Do Not Weave Your Own Networks
		Glance at iGraph
		Appreciate the Power of graph-tool
		Accept NetworkX
		Keep in Mind NetworKit
		Compare the Toolkits
	3. Introducing NetworkX
		Construct a Simple Network with NetworkX
		Add Attributes
		Visualize a Network with Matplotlib
		Share and Preserve Networks
	4. Introducing Gephi
		Worth 1,000 Words
		Import and Modify a Simple Network with Gephi
		Explore the Network
		Sketch the Network
		Prepare a Presentation-Quality Image
		Combine Gephi and NetworkX
	5. Case Study: Constructing a Network of Wikipedia Pages
		Get the Data, Build the Network
		Eliminate Duplicates
		Truncate the Network
		Explore the Network
Part II—Networks Based on Explicit Relationships
	6. Understanding Social Networks
		Understand Egocentric and Sociocentric Networks
		Recognize Communication Networks
		Appreciate Synthetic Networks
		Distinguish Strong and Weak Ties
	7. Mastering Advanced Network Construction
		Create Networks from Adjacency and Incidence Matrices
		Work with Edge Lists and Node Dictionaries
		Generate Synthetic Networks
		Slice Weighted Networks
	8. Measuring Networks
		Start with Global Measures
		Explore Neighborhoods
		Think in Terms of Paths
		Choose the Right Centralities
		Estimate Network Uniformity Through Assortativity
	9. Case Study: Panama Papers
		Create a Network of Entities and Officers
		Draw the Network
		Analyze the Network
		Build a ``Panama\'\' Network with Pandas
Part III—Networks Based on Co-Occurrences
	10. Constructing Semantic and Product Networks
		Semantic Networks
		Product Networks
	11. Unearthing the Network Structure
		Locate Isolates
		Split Networks into Connected Components
		Separate Cores, Shells, Coronas, and Crusts
		Extract Cliques
		Recognize Clique Communities
		Outline Modularity-Based Communities
		Perform Blockmodeling
		Name Extracted Blocks
	12. Case Study: Performing Cultural Domain Analysis
		Get the Terms
		Build the Term Network
		Slice the Network
		Extract and Name Term Communities
		Interpret the Results
	13. Case Study: Going from Products to Projects
		Read Data
		Analyze the Networks
		Name the Components
Part IV—Unleashing Similarity
	14. Similarity-Based Networks
		Understand Similarity
		Choose the Right Distance
	15. Harnessing Bipartite Networks
		Work with Bipartite Networks Directly
		Project Bipartite Networks
		Compute Generalized Similarity
	16. Case Study: Building a Network of Trauma Types
		Embark on Psychological Trauma
		Read the Data, Build a Bipartite Network
		Build Four Weighted Networks
		Plot and Compare the Networks
Part V—When Order Makes a Difference
	17. Directed Networks
		Discover Asymmetric Relationships
		Explore Directed Networks
		Apply Topological Sort to Directed Acyclic Graphs
		Master ``toposort\'\'
A1. Network Construction, Five Ways
	Pure Python
	iGraph
	graph-tool
	NetworkX
	NetworKit
A2. NetworkX 2.0
Bibliography
Index
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