A First Course in Network Science (Instructor's Edu Resource 1 of 3, Solution Manual) (Solutions)

Preface
Acknowledgments
0 Introduction
    0.1 Social Networks
    0.2 Communication Networks
    0.3 The Web and Wikipedia
    0.4 The Internet
    0.5 Transportation Networks
    0.6 Biological Networks
    0.7 Summary
    0.8 Further Reading
    Exercises
1 Network Elements
    1.1 Basic Definitions
    1.2 Handling Networks in Code
    1.3 Density and Sparsity
    1.4 Subnetworks
    1.5 Degree
    1.6 Directed Networks
    1.7 Weighted Networks
    1.8 Multilayer and Temporal Networks
    1.9 Network Representations
    1.10 Drawing Networks
    1.11 Summary
    1.12 Further Reading
    Exercises
2 Small Worlds
    2.1 Birds of a Feather
    2.2 Paths and Distances
    2.3 Connectedness and Components
    2.4 Trees
    2.5 Finding Shortest Paths
    2.6 Social Distance
    2.7 Six Degrees of Separation
    2.8 Friend of a Friend
    2.9 Summary
    2.10 Further Reading
    Exercises
3 Hubs
    3.1 Centrality Measures
    3.2 Centrality Distributions
    3.3 The Friendship Paradox
    3.4 Ultra-Small Worlds
    3.5 Robustness
    3.6 Core Decomposition
    3.7 Summary
    3.8 Further Reading
    Exercises
4 Directions and Weights
    4.1 Directed Networks
    4.2 The Web
    4.3 PageRank
    4.4 Weighted Networks
    4.5 Information and Misinformation
    4.6 Co-occurrence Networks
    4.7 Weight Heterogeneity
    4.8 Summary
    4.9 Further Reading
    Exercises
5 Network Models
    5.1 Random Networks
    5.2 Small Worlds
    5.3 Configuration Model
    5.4 Preferential Attachment
    5.5 Other Preferential Models
    5.6 Summary
    5.7 Further Reading
    Exercises
6 Communities
    6.1 Basic Definitions
    6.2 Related Problems
    6.3 Community Detection
    6.4 Method Evaluation
    6.5 Summary
    6.6 Further Reading
    Exercises
7 Dynamics
    7.1 Ideas, Information, Influence
    7.2 Epidemic Spreading
    7.3 Opinion Dynamics
    7.4 Search
    7.5 Summary
    7.6 Further Reading
    Exercises
Appendix A Python Tutorial
    A.1 Jupyter Notebook
    A.2 Conditionals
    A.3 Lists
    A.4 Loops
    A.5 Tuples
    A.6 Dictionaries
    A.7 Combining Data Types
Appendix B NetLogo Models
    B.1 PageRank
    B.2 Giant Component
    B.3 Small Worlds
    B.4 Preferential Attachment
    B.5 Virus on a Network
    B.6 Language Change
References
Index