I've made a graph using the Graph module that has 0.5 million nodes and 100 thousand links. It takes > 300M of memory, so tieing it to disk or increasing the amount of swap space might work. The other possibility, depending on the nature of the graph, is to try PDL which is implemented in C and use a matrix representation for the weighted graph with other data structures to handle the various attributes.

If you get desperate enough to write it yourself, take a gander at the C++ code under Optimising "generalised modularities". For my graph, it runs very fast.

Ea

perl -e 'print qq(Just another Perl Hacker\n)' # where's the irony switch?

In reply to Re: Managing a graph with large number of nodes by Ea
in thread Managing a graph with large number of nodes by nishant2984

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