sparksee.DisjointCommunities Class Reference

DisjointCommunities class. More...

List of all members.

Public Member Functions

def __init__
 Creates a new instance of DisjointCommunities.
def get_size
 Returns the number of nodes contained in the given community.
def get_count
 Returns the number of communities found in the graph.
def is_closed
 Gets if DisjointCommunities has been closed or not.
def get_nodes
 Returns the collection of nodes contained in the given community.
def get_community
 Returns the disjoint community where the given node belongs to.
def close
 Closes the DisjointCommunities instance.


Detailed Description

DisjointCommunities class.

This class contains the results processed on a DisjointCommunityDetection algorithm.

These results contain information related to the communities found. We must consider that each community has a number in order to identify it. These number identifiers are values from 0 to N-1, where N is the number of different communities found.

When executing any implementation of the DisjointCommunityDetection, it is possible to indicate whether the results of the execution must be stored persistently using the class DisjointCommunityDetection setMaterializedAttribute method. In case the results are set to be materialized, users can retrieve this data whenever they want, even if the graph has been closed and opened again, just by creating a new instance of this class.

Check out the 'Algorithms' section in the SPARKSEE User Manual for more details on this.

Author:
Sparsity Technologies http://www.sparsity-technologies.com

Member Function Documentation

def sparksee.DisjointCommunities.__init__ (   self,
  session,
  materializedattribute 
)

Creates a new instance of DisjointCommunities.

This constructor method can only be called when a previous execution of any implementation of the DisjointCommunityDetection class has materialized the results in a common attribute type for all the nodes in the graph. For further information about materializing the results processed on any DisjointCommunityDetection execution see the documentation of the DisjointCommunityDetection.SetMaterializedAttribute method.

Parameters:
session [in] Session to get the graph Graph on which the information will be retrieved just by getting the values contained in the given common attribute type for all the nodes in the graph and processing them.
materializedattribute [in] The common attribute type for all the nodes in the graph where data will be retrieved in order to process the results related to the communities found in the graph.

def sparksee.DisjointCommunities.get_size (   self,
  idCommunity 
)

Returns the number of nodes contained in the given community.

Parameters:
idCommunity The community for which the number of nodes contained in it will be returned.
Returns:
The number of nodes contained in the given community.

def sparksee.DisjointCommunities.get_count (   self  ) 

Returns the number of communities found in the graph.

Returns:
The number of communities found in the graph.

def sparksee.DisjointCommunities.is_closed (   self  ) 

Gets if DisjointCommunities has been closed or not.

See also:
close()
Returns:
TRUE if the DisjointCommunities instance has been closed, FALSE otherwise.

def sparksee.DisjointCommunities.get_nodes (   self,
  idCommunity 
)

Returns the collection of nodes contained in the given community.

Parameters:
idCommunity The community for which the collection of nodes contained in it will be returned.
Returns:
The collection of node identifiers contained in the given community.

def sparksee.DisjointCommunities.get_community (   self,
  idNode 
)

Returns the disjoint community where the given node belongs to.

Parameters:
idNode [in] The node identifier for which the disjoint community identifier where it belongs will be returned.
Returns:
The disjoint community identifier where the given node identifier belongs to.

def sparksee.DisjointCommunities.close (   self  ) 

Closes the DisjointCommunities instance.

It must be called to ensure the integrity of all data.


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