Pajek ✦

Here are some key features and facts about Pajek:

| Feature | Description | |---------|-------------| | | Simple, bipartite, oriented, weighted, multi-relational, temporal networks | | Size | Handles up to ~2M vertices / ~10M edges (depending on RAM) | | Algorithms | Clustering, partitioning, blockmodeling, centrality (degree, betweenness, closeness, Katz, etc.), core/periphery, triadic analysis, random networks, network reduction | | Layouts | Kamada–Kawai, Fruchterman–Reingold, circular, tree, energy-based, partition-guided | | Input formats | .net (Pajek native), .paj (project), UCINET DL, GML, Matrix Market, etc. | | Export | EPS, SVG, BMP, GraphML, NetDraw, etc. | Here are some key features and facts about

Find most central actors in a collaboration network. etc. | | Export | EPS