Search this site
Embedded Files
Skip to main content
Skip to navigation
ASNR 2022
Home
1 Introduction
Problems 1.1-1.3 Introduction
2 Mathematical Foundations
Problems 2 Foundations
3 Research Design
Problems 3.1-3.7 Research Design
4 Data Collection
Practice 4.1
Twitter and YouTube data
Problems 4.1-4.6 Data Collection
5 Data Management
Practice 5.1
Practice 5.2
Problems 5
6 Multivariate Techniques
Practice 6.1
Problems 6
7 Visualization
Practice 7.1 Visualization
8 Local Node-Level Measures
Practice 8.1
Problems 8
9 Centrality Measures
Practice 9.1
Problems 9
10 Group-Level Measures
Practice 10.1
Problems 10
11 Community Detection
Practice 11.1 Communities
11 Problems
12 Equivalence
Practice 12.1 Equivalence
Problems 12
13 Two-Mode Data
Practice 13.1 Two-Mode
14 Inferential Statistics
Practice 14.1-14.2
15 Stochastic Models
Practice 15.1 Stochastic
Authors
Cite
xUCINET
Versions
ASNR 2022
Home
1 Introduction
Problems 1.1-1.3 Introduction
2 Mathematical Foundations
Problems 2 Foundations
3 Research Design
Problems 3.1-3.7 Research Design
4 Data Collection
Practice 4.1
Twitter and YouTube data
Problems 4.1-4.6 Data Collection
5 Data Management
Practice 5.1
Practice 5.2
Problems 5
6 Multivariate Techniques
Practice 6.1
Problems 6
7 Visualization
Practice 7.1 Visualization
8 Local Node-Level Measures
Practice 8.1
Problems 8
9 Centrality Measures
Practice 9.1
Problems 9
10 Group-Level Measures
Practice 10.1
Problems 10
11 Community Detection
Practice 11.1 Communities
11 Problems
12 Equivalence
Practice 12.1 Equivalence
Problems 12
13 Two-Mode Data
Practice 13.1 Two-Mode
14 Inferential Statistics
Practice 14.1-14.2
15 Stochastic Models
Practice 15.1 Stochastic
Authors
Cite
xUCINET
Versions
More
Home
1 Introduction
Problems 1.1-1.3 Introduction
2 Mathematical Foundations
Problems 2 Foundations
3 Research Design
Problems 3.1-3.7 Research Design
4 Data Collection
Practice 4.1
Twitter and YouTube data
Problems 4.1-4.6 Data Collection
5 Data Management
Practice 5.1
Practice 5.2
Problems 5
6 Multivariate Techniques
Practice 6.1
Problems 6
7 Visualization
Practice 7.1 Visualization
8 Local Node-Level Measures
Practice 8.1
Problems 8
9 Centrality Measures
Practice 9.1
Problems 9
10 Group-Level Measures
Practice 10.1
Problems 10
11 Community Detection
Practice 11.1 Communities
11 Problems
12 Equivalence
Practice 12.1 Equivalence
Problems 12
13 Two-Mode Data
Practice 13.1 Two-Mode
14 Inferential Statistics
Practice 14.1-14.2
15 Stochastic Models
Practice 15.1 Stochastic
Authors
Cite
xUCINET
Versions
7
Visualization
Practices
Practice 7.1-7.6
Problems
End of chapter
Google Sites
Report abuse
Page details
Page updated
Google Sites
Report abuse