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Network Graph Metrics (FAQ)

Basic Statistics

Total Nodes: 1159
Total Edges: 1601
Primary Nodes: 172
Secondary Nodes: 987
Average Degree: 2.76
Graph Density: 0.0024
Average Clustering: 0.0709
Connected: No (4 components)

Top 10 Most Connected Nodes (Degree)

  1. accuracy: 17
  2. comprehensive: 15
  3. effective: 15
  4. ethical: 14
  5. fairness: 14
  6. transparency: 14
  7. accurate: 13
  8. capable: 13
  9. clear: 13
  10. complex: 13

Top 10 Betweenness Centrality

  1. accurate: 0.128
  2. effective: 0.0868
  3. inaccurate: 0.0788
  4. transparent: 0.0752
  5. fair: 0.0702
  6. fairness: 0.0615
  7. responsible: 0.061
  8. reliable: 0.0592
  9. diversity: 0.0591
  10. innovative: 0.0578

Top 10 Eigenvector Centrality

  1. accuracy: 0.2669
  2. fairness: 0.214
  3. effective: 0.2127
  4. transparency: 0.209
  5. ensure: 0.1931
  6. reliable: 0.1854
  7. accurate: 0.1824
  8. reliability: 0.1794
  9. explainability: 0.1601
  10. efficiency: 0.1584

Word net of terms related to epistemic values in articles on AI listed for 2024 in WoS AHCI (Arts & Humanities Citation Index): Terms shown as blue nodes were selected by Alan Liu as epistemic values of interest from articles on AI published in English in 2024 (the most cited such articles as listed in the Web of Science Core Collection index). Orange nodes show nearest neighbors in a GloVe word embedding model fine-tuned on the articles.

(Zoom in to see word labels. Hover on blue nodes to light up connections with nearest neighbors.) (Visualization layout: Force-Atlas 2)

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