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Table 6 (Agreeable ideas) Modularity measures, detected communities, and significant communities at level 0.05 (based on the Wilcoxon rank-sum test)

From: Contextual polarity and influence mining in online social networks

Community detection algorithm Modularity Number of communities Significant communities
With weight  
 Multi-level 0.54 9 6
 Fast Greedy 0.53 9 8
 Info Map 0.50 34 6
 Edge Betweenness 0.48 12 9
 Leading Eigenvector 0.48 13 9
 Walk Trap 0.47 31 6
 Label Propagation 0.42 30 2
 Spin Glass 0.21 12 9
Without weight  
 Multi-level 0.54 9 6
 Fast Greedy 0.53 11 9
 Info Map 0.50 33 7
 Edge Betweenness 0.53 9 7
 Leading Eigenvector 0.51 10 7
 Walk Trap 0.47 35 7
 Label Propagation 0.45 35 4
 Spin Glass 0.21 11 7
  1. Each community structure is detected by one of the eight algorithms, with and without sentiment scores as weight