Network Mining

Filtering in Networks

This workflow demonstrates the filtering of a network.
It demonstrates the filtering of nodes based on a given id list or based on a feature value.
It also demonstrates the filtering of leafs and unconnected nodes as well as the filtering of empty edges and loops.

Filtering in Networks

 

Networks and Prediction

This workflow predicts unknown feautures using the build in KNIME data mining nodes.
It builds a decision tree model to predict the phase of life attribute for the nodes that miss these information and adds the predicted value to the correspnding nodes.

Networks and Prediction

 

DrugBank Network analysis

The workflow analyses data from DrugBank (http://www.drugbank.ca/) a public available db that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information.
Each drug is described by a drug card with more than 150 data fields of which only some are used in this workflow for demonstration.
All necessary files are available at www.drugbank.ca/downloads

Pubmed Author Network Analysis

This workflow finds the most important authors for a new indication via network mining approaches and based on a set of PubMed articles that includes relevant terms of this new indication.
A network with authors as nodes and publications as edges is generated. The number of common publications is used as an edge weight.

Schools Wiki Network Analysis

The workflow demonstrates some basic network analysis tasks such as network filtering, shortest path and connected component detection.
It analyses schools Wikipedia (http://schools-wikipedia.org) using the network analysis plugin.
Schools Wikipedia is a subset of the English Wikipedia (http://en.wikipedia.org) and contains more than 5000 articles.
Articles are represented as nodes in the network with the title of the article as node id.

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