Social Networks

47  Homework II: Directed Graphs

  • Welcome
  • Introduction to Networks
    • 1  What Are Networks?
    • 2  What is A Social Network?
  • Graph Theory: The Basics
    • 3  Introduction to Graphs
    • 4  Graphs and their Subgraphs
    • 5  Types of Ties in Social Networks
    • 6  Types of Ties and Their Graphs
    • 7  Basic Graph Metrics
    • 8  Nodes and their Neighborhoods
    • 9  Nodes and their Degrees
    • 10  Degree-Based Graph Metrics
    • 11  Indirect Connections
    • 12  Directed Indirect Connections
    • 13  Graph Connectivity
    • 14  Tree Graphs
  • Matrices: The Basics
    • 15  Introduction to Matrices
    • 16  The Adjacency Matrix
    • 17  Matrix Operations: Row and Column Sums
    • 18  Basic Matrix Operations
    • 19  Matrix Multiplication
  • Motifs
    • 20  Triads
  • Centrality
    • 21  Centralities based on Degree
    • 22  Centralities based on the Geodesic Distance
    • 23  Centralities based on Shortest Paths
    • 24  The “Big Three” Centrality Metrics
    • 25  Getting Centrality from Others
  • Two-Mode Networks
    • 26  Affiliation Networks
  • Ego Networks
    • 27  Ego Network Metrics
    • 28  Collecting Ego-Network Data
    • 29  Theories of Ego Network Homogeneity and Diversity
  • Subgroups and Blocks
    • 30  Clique Analysis
    • 31  Cohesive Subsets
    • 32  Equivalence and Similarity
    • 33  Local Node Similarities
  • Network Theory
    • 34  Dunbar’s Theory of Social Circles
    • 35  The Strength of Weak Ties
    • 36  Structural Holes and Brokerage
    • 37  Simmelian Tie Theory
    • 38  Dyadic Balance
    • 39  Triadic Balance
    • 40  Structural Balance
    • 41  Theories of Valenced Interactions
    • 42  Dominance Hierarchies
    • 43  The Diffusion of Innovations
    • 44  The Small World
  • Exercises
    • 45  Homework I: Graph Theory
    • 46  Homework I: Graph Theory
    • 47  Homework II: Directed Graphs

Table of contents

  • 47.1 Directed Graph Neighborhoods
  • 47.2 Directed Graph Degrees
  • 47.3 Directed Graph Node Types
  • 47.4 Directed Graph Metrics
  • 47.5 From Graph to Matrix

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47  Homework II: Directed Graphs

Figure 47.1: A directed graph.

Consider the graph shown in Figure 47.1:

  1. Write down the edge set of the graph:




47.1 Directed Graph Neighborhoods

  1. Who are the out-neighbors of node A?


  2. Who are the in-neighbors of node E?


  3. What is the intersection of the out-neighborhoods of nodes A and I?


  4. What is the intersection of the in-neighborhoods of nodes H and E?


  5. What is the union of the out-neighborhoods of nodes G and K?


  6. What is the union of the in-neighborhoods of nodes B and I?


47.2 Directed Graph Degrees

  1. What is the out-degree of node H?


  2. What is the in-degree of node E?


  3. What is(are) the node(s) with the largest out-degree?


  4. What is(are) the node(s) with the largest in-degree?


  5. What is(are) the node(s) with the smallest out-degree?


  6. What is(are) the node(s) with the smallest in-degree?


47.3 Directed Graph Node Types

  1. Which is(are) the receiver node(s) in the graph?


  2. Which is(are) the transmitter node(s) in the graph?


47.4 Directed Graph Metrics

  1. What is the graph’s in-degree sequence?


  2. What is the graph’s out-degree range?


  3. What is the graph’s in-degree range?

    c

  4. What is the graph’s sum of degrees?


  5. What is the size of the graph?


  6. What is the graph’s maximum size?


  7. Compute the density of the graph:







47.5 From Graph to Matrix

  • In the matrix below, write down the cell entries for the adjacency matrix corresponding to the graph shown in Figure 47.1:
A B C D E F G H I J K L
A ----
B ----
C ----
D ----
E ----
F ----
G ----
H ----
I ----
J ----
K ----
L ----
46  Homework I: Graph Theory
Copyright 2023, Omar Lizardo & Isaac Jilbert