The following node is available in the Open Source KNIME predictive analytics and data mining platform version 2.7.1. Discover over 1000 other nodes, as well as enterprise functionality at
http://knime.com.
SubGraph Extractor
Extracts the surrounding subgraphs of an object form the given
network. The objects to use and the size of the subgraph depends
on the node settings.
Dialog Options
- Object selection
-
Defines which resource should be used for the object ids:
-
Use all objects: Uses all objects from the selected partition
type (node, edge, undefined, all)
-
Pick objects randomly: Uses the fixed seed to pick the given
number of random objects from the selected partition
type (node, edge, undefined, all)
-
Pick objects by id: Uses the given list of objects ids where each
id is separated using the specified separator
-
Use table column: Fetches the object ids from the optional input
table from the selected column
- Sub graph diameter (incl. edges)
-
Specifies the diameter of the subgraph. The number includes the
edges which are internal represented as objects as well.
In order to get only the direct neighbor nodes of a node select
a diameter of 2. A diameter of 3 also includes edges among the
direct neighbor nodes.
- Maximum number of objects
-
Specifies the maximum number of objects (nodes and edges) the
subgraph should contain. Set this option to -1 for no limitation.
If a subgraph is incomplete because of this option the skipped
column contains true.
- Allow overlapping graphs
-
Tick this option if the extracted subgraphs are allowed to overlap.
If this option is not ticked each object is used only once.
- Copy all features
-
Tick this option if all features of the objects in the subgraph should
be copied from the original network.
Ports
Output Ports
0 |
Table with the sub graphs |
This node is contained in Network Base Plug-in
provided by Chair for Bioinformatics and Information Mining,University of Konstanz,Germany.