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Matrix routines: Adjacency plot, Laplacian matrix, Degree matrix, Cocitation, etc.
Advanced measures for social network analysis such as centrality and prestige indices (e.g., eigenvector centrality, closeness centrality, betweenness centrality, information centrality, power centrality, proximity prestige, and pagerank prestige).
Fast algorithms for community detection, such as triad census, clique census, etc.
-Structural equivalence analysis using hierarchical clustering, actor similarities, tie profile dissimilarities, and Pearson coefficients.
+Structural equivalence analysis using hierarchical clustering, actor similarities, tie profile dissimilarities, and Pearson coefficients.
Layout models based on prominence indices (e.g., circular, level, nodal sizes by centrality score) or on force-directed placement (e.g., Kamada-Kawai, Fruchterman-Reingold).
Multirelational network loading and editing.
Random network creation using various models (Barabási–Albert Scale-Free, Erdős–Rényi, Watts-Strogatz Small-World, d-regular, ring lattice, etc.).