Table 1 Usage of different combinations of protocols and organization of their results.

From: A nature inspired modularity function for unsupervised learning involving spatially embedded networks

Protocol Combinations (PC)

Key findings

Protocols used for

Objectives

Ensemble generation

Finding community

Modularity

PC 1

Best partition

DEM

RN model. γ used.

NG vs. new

Discuss the role of γ in finding the optimal partition. Evaluate NG vs. new modularity for finding the best partition.

PC 2

Best partition

Synthetic (manual)

RN model. γ used.

NG vs. new

Evaluate NG vs. new modularity for finding the best partition.

PC 3

Hierarchical structures

Synthetic (manual)

Manual (forced). γ not used.

NG vs. new

Evaluate NG vs. new modularity for finding hierarchical structures.