Metadata-Version: 2.1
Name: noesis
Version: 0.2.7
Summary: An open source framework for network data mining that provides a large collection of network analysis techniques
Home-page: http://noesis.ikor.org/
Author: The NOESIS project team
Author-email: noesis-support@ikor.org
License: MIT
Description: Official Python API for [NOESIS](http://noesis.ikor.org), an open source framework for network data mining that provides a large collection of network analysis techniques, including the analysis of network structural properties, community detection methods, link scoring, and link prediction, as well as network visualization algorithms.
        
        ## Installation
        From source:
        ```
        git clone https://github.com/fvictor/noesis-python.git
        cd noesis-python
        python setup.py install
        ```
        From [PyPi](https://pypi.python.org/pypi/noesis):
        ```
        pip install noesis
        ```
        
        ## Getting started
        NOESIS for Python provides simple and unified interfaces for most of the implemented techniques. The following example loads a network from a GML file and detects its communities using the Kernighanâ€“Lin algorithm:
        ```python
        from noesis import Noesis
        
        ns = Noesis()
        
        network_reader = ns.create_network_reader('GML')
        network = network_reader.read('my_network.gml')
        
        community_detector = ns.create_community_detector('KernighanLin')
        communities = community_detector.compute(network)
        
        for node in range(network.nodes()):
        	print('Node {} belongs to community {}'.format(node, communities[node]))
        
        ns.end()
        ```
        
        The following example generates a network of 20 nodes and 100 links using the ErdÃ¶sâ€“RÃ©nyi model and computes the PageRank score of each node:
        ```python
        from noesis import Noesis
        
        ns = Noesis()
        
        network = ns.create_network_from_model('ErdosRenyi', 20, 100)
        
        pagerank_scorer = ns.create_node_scorer('PageRank', 0.9)
        scores = pagerank_scorer.compute(network)
        
        for node in range(network.nodes()):
        	print('Node {} has a PageRank score of {}'.format(node, scores[node]))
        
        ns.end()
        ```
        
        
        Always remember to call the *end* method of *Noesis* class to properly terminate the NOESIS session and finish the execution of your program.
        
        ## Documentation
        The documentation of the project, which can be built using [SPHINX](http://www.sphinx-doc.org/), is located in the **doc** folder. A readily available up-to-date version of the documentation can be found at [http://noesis-python.readthedocs.io](http://noesis-python.readthedocs.io).
Keywords: noesis,network
Platform: UNKNOWN
Description-Content-Type: text/markdown
