Social Networks
Bruin Learn
Assignments
Syllabus
References
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
References
46
The Small World Phenomenon