Statistical Models for Networks
14
ERGM specification and egocentric estimation
Networks and Epidemics
Preface
Epidemics and Networks 101
1
Introduction
2
Poker Chip Homework Quiz
3
Basic DCMs
4
Basic DCMs with EpiModelWeb
5
Basic ICMs
6
Basic ICMs with EpiModelWeb
7
New DCMs
8
Network Theory and Terminology
9
Network Data Types
10
Comparing Modeling Frameworks
Statistical Models for Networks
11
Null Hypothesis tests with StatnetWeb
12
Intro to ERGMs with StatnetWeb
13
Fitting ERGMs to Faux Mesa High with statnetWeb (Lab)“
14
ERGM specification and egocentric estimation
15
Dynamic Network Models
16
Relational Durations and Ages
17
Dynamic Network Modeling in EpiModel
18
Table of Common ERGM Terms
Basics of Network Models for Epidemics
19
EpiModel Overview
20
SIS Epidemic Across a Dynamic Network
21
Simulating Your First Network Model
22
Model Specification and Parametrization Issues
23
Working with Nodal Attributes in Network Models
24
Experimenting with Population Heterogeneity in Network Models
25
Practice with Egocentric Data and Target Statistics
26
Dynamic Network Visualization
Network Models for Epidemics with Feedback
27
Overview
28
Dynamic Networks with Feedback
29
Epidemic Models with Demography
30
Adding Demography to Your Network Model
31
Feedback Through Nodal Attribute Changes
32
A Simple Vaccine Intervention
33
Putting It All Together
34
Getting Started with EpiModel Extensions
35
Adding a Latent Stage to Make an SEIR Model
36
Experimenting with Population Heterogeneity in Network Models
Extending EpiModel for Research
37
Overview
38
Applied Network Models for Infectious Disease Dynamics
39
Adding Demography to COVID Model
40
Experimenting with COVID Model Demography
41
Adding An Asymptomatic Pathway and Screening-Based Interventions to the COVID Model
42
Experimenting with COVID Interventions
43
Final Considerations
44
EpiModel Gallery
References
Statistical Models for Networks
14
ERGM specification and egocentric estimation
14
ERGM specification and egocentric estimation
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13
Fitting ERGMs to Faux Mesa High with statnetWeb (Lab)“
15
Dynamic Network Models