`Efficiency`¶

Calculate the (global or local) efficiency parameters of a weighted-directed network.

it is assumed that the network weights are in two space axes of the input packet. The average of inverse shortest path length is the global efficiency which is inversely related to the characteristic path length. The local efficiency is similar to the global efficiency but computed on the neighborhood of the node. References: Latora and Marchiori (2001) Phys Rev Lett 87:198701. Onnela et al. (2005) Phys Rev E 71:065103 Fagiolo (2007) Phys Rev E 76:026107. Rubinov M, Sporns O (2010) NeuroImage 52:1059-69 Wang Y et al. (2016) Neural Comput 21:1-19. Version 0.0.1

Ports/Properties¶

`data`¶

Data to process.

verbose name: Data
default value: None
port type: DataPort
value type: Packet (can be None)
data direction: INOUT

`type`¶

The type of efficiency to be computed, can be either 'global' of 'local'.

verbose name: Type Of Efficiency
default value: local
port type: EnumPort
value type: str (can be None)

`normalize`¶

Normalize the weight matrix if this is True.

verbose name: Normalize
default value: False
port type: BoolPort
value type: bool (can be None)

`set_breakpoint`¶

Set a breakpoint on this node. If this is enabled, your debugger (if one is attached) will trigger a breakpoint.

verbose name: Set Breakpoint (Debug Only)
default value: False
port type: BoolPort
value type: bool (can be None)

`metadata`¶

User-definable meta-data associated with the node. Usually reserved for technical purposes.

verbose name: Metadata
default value: {}
port type: DictPort
value type: dict (can be None)

Efficiency¶

Ports/Properties¶

data¶

type¶

normalize¶

set_breakpoint¶