Social Network Visualizer (SocNetV) is a social network analysis and visualization application.

Social Network Visualizer can draw a social network (graph/digraph) or load an existing one (GraphML, UCINET, Pajek, etc), compute cohesion, centrality, community and structural equivalence metrics and apply various layout algorithms based on actor centrality or prestige scores (i.e. Eigenvector, Betweenness) or on dynamic models (i.e. spring-embedder)

Social Network Visualizer Features:

Auto create known network data sets

Random network models (scale-free, Erdős–Rényi G(n,p) and G(n, M), Watts-Strogatz small worlds, ring lattice, d-regular, etc.)

Supports most social network formats (GraphML, Adjacency, Pajek, UCINET, lists, etc.)

Works with two-mode affiliation networks (in sociomatrix format)

Fast calculation of Centrality indices (Degree, Closeness, Betweenness, Graph, Information, Power) as well as Prestige (Proximity, Rank, etc.)

Radial network layouts according to centrality and prestige indices

PageRank Analysis

Leveled network layout according to prominence indices

Crawl websites to create networks

Triad and Clique Census

Structural equivalence methods: Hierarchical cluster analysis, Actor Similarity, Tie profile dissimilarities, Pearson coefficients

Exports in GraphML, Pajek, Adjacency

Online manual and technical documentation available

Reads and writes networks with multiple relations, enables you to edit links from different relations and perform analysis

Fast enough for large networks of >1000 actors and 10000 edges.

Low memory and CPU use

Graph and digraph mode