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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
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  • xUCINET
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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

4
Data Collection

Practices

  • Practice 4.1


Problems

  • End-of-chapter problems


Additional

  • Accessing Twitter & YouTube data

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