Social Network Visualizer
Social Network Visualizer
Visit our new site: http://socnetv.org
https://sourceforge.net/projects/socnetv/
Social Network Visualizer (SocNetV) is a social network analysis and visualization application. You 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. Kamada-Kawai spring-embedder)
Features
Auto create famous social 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, Betweeness, Graph, Information, Power) as well as Prestige (Proximity, Rank, etc)
Radial network layouts according to centrality and prestige indices
PageRank analysis
Leveled network layous 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
Force-Directed Placement layouts
网址:Social Network Visualizer http://www.mxgxt.com/news/view/1170338
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