Graph Analysis and Visualization : Discovering Business Opportunity in Linked Data.

Intro -- Introduction -- Part 1: Overview -- Chapter 1: Why Graphs? -- Visualization in Business -- Graphs in Business -- Finding Anomalies -- Managing Networks and Supply Chains -- Identifying Risk Patterns -- Optimizing Asset Mix -- Mapping Social Hierarchies -- Detecting Communities -- Graphs Today -- Summary -- Chapter 2: A Graph for Every Problem -- Relationships -- Hierarchies -- Communities -- Flows -- Spatial Networks -- Summary -- Part 2: Process and Tools -- Chapter 3: Data-Collect, Clean, and Connect -- Know the Objective -- Collect: Identify Data -- Potential Graph Data Sources -- Potential Hierarchy Data Sources -- Getting the Data -- Clean: Fix the Data -- Connect: Organize Graph Data -- Compute the Graph -- Graph Data File Formats -- Putting It All Together -- Summary -- Chapter 4: Stats and Layout -- Basic Graph Statistics -- Size (Number of Nodes and Number of Edges) -- Density -- Number of Components -- Degree and Paths -- Centrality -- Viral Marketing Example -- Layouts -- Node-and-Link Layouts -- Other Layouts -- Force-Directed Layout -- Node-Only Layout -- Time Oriented -- Top-Down and Other Orthogonal Hierarchies -- Radial Hierarchy -- Geographic Layout and Maps -- Chord Diagrams -- Adjacency Matrix -- Treemap -- Hierarchical Pie Chart -- Parallel Coordinates -- Putting It All Together -- Summary -- Chapter 5: Visual Attributes -- Essential Visual Attributes -- Key Node Attributes -- Node Size -- Node Color -- Labels -- Key Edge Attributes -- Edge Weight -- Edge Color -- Edge Type -- Combining Basic Attributes -- Bundles, Shapes, Images, and More -- Bundled Edges -- Shape -- Node Image -- Node Border -- More Attributes -- Interference and Separation -- Putting It All Together -- Summary -- Chapter 6: Explore and Explain -- Explore, Explain, and Export -- Essential Exploratory Interactions.

Zoom and Pan (and Scale and Rotate…) -- Identify -- Filter -- Isolate and Redo Layout -- More Interactive Exploration -- Identifying Neighbors -- Paths -- Deleting -- Grouping -- Iterative Analysis -- Explain -- Sequence of a Data Story -- Legends -- Annotations -- Export Data Subsets, Graphs, and Images -- Putting It All Together -- Summary -- Chapter 7: Point-and-Click -- Excel -- Summarizing Links -- Extracting Nodes -- Adjacency Matrix Visualization in Excel -- NodeXL -- NodeXL Basics -- Social Network Features -- Gephi -- Gephi Basics -- Caveats -- Cytoscape -- Cytoscape Basics -- Importing Data into Cytoscape -- Visual Attributes -- Apps Menu -- yEd -- yEd Basics -- Summary -- Chapter 8: Lightweight ­Programming -- Python -- Getting Started -- Cleaning Data -- Extracting a Set of Nodes from a Link Data Set -- Transforming E‑mail Data into a Graph -- Graph Databases -- JavaScript and Graph Visualization -- D3 Basics -- D3 and Graphs -- D3 Springy Graph -- Summary -- Part 3: Visual Analysis -- Chapter 9: Relationships -- Links and Relationships -- Similarities in Fraud Claims -- Cybersecurity -- E‑mail Relationships -- Spatial Separation -- Actors and Movies -- Links Turned into Nodes -- Summary -- Chapter 10: Hierarchies -- Organizational Charts -- Trees and Graphs -- Drawing a Hierarchy -- Decision Trees -- Website Trees and Effectiveness -- Summary -- Chapter 11: Communities -- What Defines a Community? -- Graph Clustering -- A Social Network Case Study -- Social Media Using NodeXL and Gephi -- Layouts that Cluster -- Using Color to Characterize Clusters -- Community Detection -- Using Color to Distinguish Clusters -- Community Topic Analysis -- Community Sentiment -- Cliques and Other Groups -- Cliques in Social Media -- Community Groups with Convex Hulls -- Summary -- Chapter 12: Flows -- Sankey Diagrams -- Constructing a Sankey Diagram.

Create the Page Structure -- Process and Model the Data -- Visualize the Data -- Highlight Flow through a Node -- Community Layouts with Flow -- Chord Diagrams -- Constructing a Chord Diagram -- Prepare the Data -- Create the Page Structure -- Process and Model the Data -- Visualize the Data -- Interactive Details on Demand -- Behavioral Factor Tree -- Summary -- Chapter 13: Spatial Networks -- Schematic Layout -- A Modern Application -- Small World Grouping -- Link Rose Summaries -- Building a Link Rose Diagram -- Route Patterns -- Visualizing Route Segments -- Track Aggregation -- Summary -- Part 4: Advanced ­Techniques -- Chapter 14: Big Data -- Graph Databases -- A Product Marketing Example -- Creating and Populating a Graph Database -- Graph Query Languages -- Gremlin for Graph Queries -- Using Graph Queries to Extract Neighborhoods -- Analyzing Neighborhoods -- Topic Word Clouds -- Plotting Network Activity -- Community Visualization -- Summary -- Chapter 15: Dynamic Graphs -- Graph Changes -- Organic Animation -- Full Time Span Layout -- Ghosting -- Fading -- Community Evolution -- Transaction Graphs -- Clustered Transaction Analysis -- Spatial Transaction Analysis -- Summary -- Chapter 16: Design -- Nodes -- Node Shape -- Node Size -- Node Labels -- Links -- Link Shape -- Color -- Color Palettes -- Summary -- Glossary -- Index.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.