Network Mining


Network mining

   Network Mining

The network mining plug-in was developed in order to process attributed graphs such as social networks, co-authorship networks, etc. The plug-in provides the infrastructure to handle large networks within KNIME as well as KNIME nodes to create, generate, manipulate, analyze, and visualize these networks.

The network infrastructure was developed to support a wide range of network types such as

  • (un)directed,
  • (un)weighted,
  • multi graphs,
  • hypergraphs, and
  • k-partite graphs.
For a complete list of the supported network types and the internal handling of those types see the Supported Network Types section.


It also enables attributes to be assigned (e.g. edge weights, node labels, network descriptions) - which we refer to as features - to all network elements such as

  • the graph itself,
  • nodes,
  • edges, and
  • end objects (pair that groups a node and an edge).
The supported feature types include:
  • string e.g. txt such as a label
  • boolean (true/false)
  • float e.g. edge weight
  • uri e.g. the uri of an integrated data source
  • Lists of the above data types e.g. string list
  • enum with predefined values
For a complete list of the supported feature types and a description of the standard features see the Network Features section.


The plug-in supports also the interactive viewing of networks and the sending and receiving of networks to and from external programs. For a list of the supported programs see the Network Visualization section.

For a detailed description of the available example workflows that demonstrate some of the nodes and the usage of the network mining plug-in, see the Examples section.

The network mining plug-in is an offspring of the BisoNet plug-in which has been developed for the EU Project Bison. The major goal of the plug-in was to provide on the one hand a graph structure that is flexible enough to support a wide range of graph structures (e.g. (un)directed, (un)weighted, hyperedges etc.) and on the other hand an infrastructure for handling large networks. The BisoNet plug-in has been actively used throughout the three-year project.


Tobias Kötter