Social Networks
  • Bruin Learn
  • Assignments
  • Syllabus
  1. Introduction to Networks
  2. 5  Multiplex Networks
  • Welcome
  • Introduction to Networks
    • 1  What Are Networks?
    • 2  What is A Social Network?
    • 3  Social Ties and Network Boundaries
    • 4  Tie Strength
    • 5  Multiplex Networks
  • Networks and Graphs
    • 6  Introduction to Graphs
    • 7  Types of Ties and Their Graphs
    • 8  Dyads and Triads
    • 9  Basic Graph Metrics
    • 10  Directed Graphs
    • 11  Indirect Connections
    • 12  Graph Connectivity
    • 13  Tree Graphs
  • Networks and Matrices
    • 14  Introduction to Matrices
    • 15  The Social Network Matrices
    • 16  Basic Matrix Operations
    • 17  Matrix Multiplication and its Applications
  • Centrality and Status
    • 18  Centralities based on Degree
    • 19  Centralities based on the Geodesic Distance
    • 20  Centralities based on Shortest Paths
    • 21  The “Big Three” Centrality Metrics
    • 22  Getting Centrality from Others
    • 23  Status
    • 24  Hubs and Authorities
  • Two-Mode & Ego Networks
    • 25  Affiliation Networks
    • 26  Ego Network Metrics
    • 27  Collecting Ego-Network Data
    • 28  Theories of Ego Network Homogeneity and Diversity
    • 29  Network Cognition and Cognitive Social Structures
  • Subgroups and Blocks
    • 30  Clique Analysis
    • 31  Cohesive Subsets
    • 32  Equivalence and Similarity
    • 33  Automorphic and Regular Equivalence
    • 34  Local Node Similarities
    • 35  Blockmodeling
  • Network Theory: Ties and Circles
    • 36  Dunbar’s Theory of Social Circles
    • 37  The Strength of Weak Ties
    • 38  Structural Holes and Brokerage
    • 39  Simmelian Tie Theory
  • Network Theory: Balance and Hierarchy
    • 40  Dyadic Balance
    • 41  Triadic Balance
    • 42  Structural Balance
    • 43  Theories of Valenced Interactions
    • 44  Dominance Hierarchies
  • Network Theory: Dynamics and Diffusion
    • 45  The Diffusion of Innovations
    • 46  The Small World Phenomenon
  • References

Table of contents

  • 5.1 Introduction
  • 5.2 The Importance of Multiplexity
  1. Introduction to Networks
  2. 5  Multiplex Networks

5  Multiplex Networks

5.1 Introduction

In many social situations, actors are connected by more than one type of relationship. For example, two individuals might be co-workers, friends, and members of the same voluntary association. A network that captures multiple types of relations among the exact same set of actors is called a multiplex network.

5.2 The Importance of Multiplexity

Understanding multiplexity is important because different types of ties can interact, reinforce, or conflict with one another. When ties are multiplex, they tend to be stronger and more resilient. Analyzing them purely as a single type of relationship can miss the complexity of the underlying social structure.

(Chapter content to be expanded)

4  Tie Strength
6  Introduction to Graphs
 

Copyright 2023, Omar Lizardo & Isaac Jilbert