Max De Marzi1:
In the world of graph databases, one such stock room is the Java Universal Network/Graph Framework(JUNG) which contains a cache of algorithms from graph theory, data mining, and social network analysis, such as routines for clustering, decomposition, optimization, random graph generation, statistical analysis, and calculation of network distances, flows, and importance measures (centrality, PageRank, HITS, etc.).
Update: there’s a second part, in which De Marzi looks into visualizing graphs with Node Quilt:
Original title and link: Neo4j and the Java Universal Network/Graph Framework ( ©myNoSQL)