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Home
Learn NetLogo
What is NetLogo? Tutorial #0 Sample Model Tutorial #1 Models Tutorial #2 Commands Tutorial #3 Procedures
Documentation
NetLogo Dictionary Interface Guide Interface Tab Guide Info Tab Guide Code Tab Guide Programming Guide Transition Guide Preferences Guide Version History
Advanced Tools
Extension Manager Shapes Editor BehaviorSpace System Dynamics HubNet HubNet Authoring Logging Controlling Mathematica Link NetLogo 3D Cluster Computing (HPC)
Extensions
Extensions Guide Arduino Array Bitmap CSV GIS GoGo LevelSpace Matrix Networks Palette Profiler Python Resource Rnd Sound Simple R Table Time Vid View2.5D
FAQ
primitive: nw:save-graphml
Networks Extension Dictionary
  • No items found

nw:save-graphml

nw:save-graphml file-name

You can save the current graph to GraphML. The following NetLogo code:

extensions [ nw ]

breed
[ bankers banker ]
bankers-own
[ bank-name ]
breed
[ clients client ]
clients-own
[ hometown ]

undirected-link-breed
[ friendships friendship ]

directed-link-breed
[ accounts account ]
accounts-own
[ amount ]

to
go
clear-all
create-bankers 1 [
set bank-name "The Bank"
]
create-clients 1 [
set hometown "Turtle City"
create-friendship-with banker 0
create-account-to banker 0 [
set amount 9999.99
]
]
nw:set-context turtles links
nw:save-graphml "example.graphml"
end

Will produce the following GraphML file:

<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns/graphml"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns/graphml">
<key id="PEN-MODE" for="node" attr.name="PEN-MODE" attr.type="string"/>
<key id="YCOR" for="node" attr.name="YCOR" attr.type="double"/>
<key id="PEN-SIZE" for="node" attr.name="PEN-SIZE" attr.type="double"/>
<key id="LABEL" for="node" attr.name="LABEL" attr.type="string"/>
<key id="SHAPE" for="node" attr.name="SHAPE" attr.type="string"/>
<key id="BREED" for="node" attr.name="BREED" attr.type="string"/>
<key id="WHO" for="node" attr.name="WHO" attr.type="double"/>
<key id="HIDDEN?" for="node" attr.name="HIDDEN?" attr.type="boolean"/>
<key id="LABEL-COLOR" for="node" attr.name="LABEL-COLOR" attr.type="double"/>
<key id="HEADING" for="node" attr.name="HEADING" attr.type="double"/>
<key id="BANK-NAME" for="node" attr.name="BANK-NAME" attr.type="string"/>
<key id="HOMETOWN" for="node" attr.name="HOMETOWN" attr.type="string"/>
<key id="COLOR" for="node" attr.name="COLOR" attr.type="double"/>
<key id="XCOR" for="node" attr.name="XCOR" attr.type="double"/>
<key id="SIZE" for="node" attr.name="SIZE" attr.type="double"/>
<key id="END1" for="edge" attr.name="END1" attr.type="string"/>
<key id="TIE-MODE" for="edge" attr.name="TIE-MODE" attr.type="string"/>
<key id="END2" for="edge" attr.name="END2" attr.type="string"/>
<key id="LABEL-COLOR" for="edge" attr.name="LABEL-COLOR" attr.type="double"/>
<key id="THICKNESS" for="edge" attr.name="THICKNESS" attr.type="double"/>
<key id="LABEL" for="edge" attr.name="LABEL" attr.type="string"/>
<key id="SHAPE" for="edge" attr.name="SHAPE" attr.type="string"/>
<key id="BREED" for="edge" attr.name="BREED" attr.type="string"/>
<key id="COLOR" for="edge" attr.name="COLOR" attr.type="double"/>
<key id="AMOUNT" for="edge" attr.name="AMOUNT" attr.type="double"/>
<key id="HIDDEN?" for="edge" attr.name="HIDDEN?" attr.type="boolean"/>
<graph edgedefault="undirected">
<node id="client 1">
<data key="PEN-MODE">up</data>
<data key="YCOR">0</data>
<data key="PEN-SIZE">1</data>
<data key="LABEL"></data>
<data key="SHAPE">default</data>
<data key="BREED">clients</data>
<data key="WHO">1</data>
<data key="HIDDEN?">false</data>
<data key="LABEL-COLOR">9.9</data>
<data key="HEADING">356</data>
<data key="HOMETOWN">Turtle City</data>
<data key="COLOR">115</data>
<data key="XCOR">0</data>
<data key="SIZE">1</data>
</node>
<node id="banker 0">
<data key="PEN-MODE">up</data>
<data key="YCOR">0</data>
<data key="PEN-SIZE">1</data>
<data key="LABEL"></data>
<data key="SHAPE">default</data>
<data key="BREED">bankers</data>
<data key="WHO">0</data>
<data key="HIDDEN?">false</data>
<data key="LABEL-COLOR">9.9</data>
<data key="HEADING">32</data>
<data key="BANK-NAME">The Bank</data>
<data key="COLOR">85</data>
<data key="XCOR">0</data>
<data key="SIZE">1</data>
</node>
<edge source="client 1" target="banker 0">
<data key="END1">(client 1)</data>
<data key="TIE-MODE">none</data>
<data key="END2">(banker 0)</data>
<data key="LABEL-COLOR">9.9</data>
<data key="THICKNESS">0</data>
<data key="LABEL"></data>
<data key="SHAPE">default</data>
<data key="BREED">accounts</data>
<data key="COLOR">5</data>
<data key="AMOUNT">9999.99</data>
<data key="HIDDEN?">false</data>
</edge>
<edge source="banker 0" target="client 1">
<data key="END1">(banker 0)</data>
<data key="TIE-MODE">none</data>
<data key="END2">(client 1)</data>
<data key="LABEL-COLOR">9.9</data>
<data key="THICKNESS">0</data>
<data key="LABEL"></data>
<data key="SHAPE">default</data>
<data key="BREED">friendships</data>
<data key="COLOR">5</data>
<data key="HIDDEN?">false</data>
</edge>
</graph>
</graphml>

A few things to notice:

  • The breed is stored as data field, both for nodes and edges. Note that the breed is stored in its plural form.
  • The data includes both NetLogo’s internal variables and the variables that were defined as either breeds-own, turtles-own, linkbreeds-own or links-own.
  • Each key gets an attr.type based on the actual types of the values contained in the agent variables. The three possible types are "string", "double" and "boolean". To determine the attribute type of a particular agent variable, the extension will look at the first agent in the graph. To see which agent is first, you can look at the result of nw:get-context. Note that variables containing other types of values, such as turtles, patches, lists, etc., will be stored as strings.
  • This example only has a directed link, and you will notice the <graph edgedefault="directed"> element. If we had only undirected links, we would have <graph edgedefault="undirected">. What if we try to mix both kinds of link? At the moment, the extension will save such a “mixed” graph as if it were an undirected graph (see this issue for more details). The order of the source and target will be respected, however, so if you know which breeds represent directed links, you can figure it out a posteriori.

Take me to the full Networks Extension Dictionary.

Networks Extension Dictionary: save

Documentation for the save primitive.

Networks Extension Dictionary: save-matrix

Documentation for the save-matrix primitive.


NetLogo is a programmable modeling environment for simulating natural and social phenomena. It was authored by Uri Wilensky in 1999 and has been in continuous development ever since at the Center for Connected Learning and Computer-Based Modeling.

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Copyright © 1999-2025 Uri Wilensky and the Center for Connected Learning and Computer-Based Modeling at Northwestern University . All rights reserved.

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License , or (at your option) any later version.

Commercial licenses are also available. To inquire about commercial licenses, please contact Uri Wilensky at netlogo-commercial-admin@ccl.northwestern.edu .

For more information, visit the NetLogo website .