Orange: Network Of Groups - Revision history

Onnowpurbo: /* Contoh */

2020-04-06T09:21:50Z

Contoh

← Older revision		Revision as of 09:21, 6 April 2020
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	==Contoh==		==Contoh==

	Dalam contoh ini, kita akan menggunakan airtraffic ~~data set~~, yang di load menggunakan widget Network File. Kita dapat melihat seluruh data set di widget Network Explorer(1).		Dalam contoh ini, kita akan menggunakan airtraffic dataset, yang di load menggunakan widget Network File. Kita dapat melihat seluruh data set di widget Network Explorer(1).

	Kemudian kita menggunakan widget Network of Groups untuk mengelompokan (group) dari network berdasarkan atribut FAA Classification. Semua node dengan nilai yang atribut yang sama akan di representasikan dengan single node di output. Akan ada edge antars dua (2) node, jika mereka berbagi connection di network original.		Kemudian kita menggunakan widget Network of Groups untuk mengelompokan (group) dari network berdasarkan atribut FAA Classification. Semua node dengan nilai yang atribut yang sama akan di representasikan dengan single node di output. Akan ada edge antars dua (2) node, jika mereka berbagi connection di network original.

Onnowpurbo at 09:19, 6 April 2020

2020-04-06T09:19:56Z

← Older revision		Revision as of 09:19, 6 April 2020
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	~~Mengelompokan~~ (group) instance berdasarkan feature dan connect related group.		Widget Network Of Groups mengelompokan (group) instance berdasarkan feature dan connect related group.

	==Input==		==Input==

Onnowpurbo: /* Contoh */

2020-04-06T04:57:17Z

Contoh

← Older revision		Revision as of 04:57, 6 April 2020
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	Grouped network di perlihatkan di widget Network Explorer.		Grouped network di perlihatkan di widget Network Explorer.

	[[File:Network-of-Groups-Example.png\|center\|~~200px~~\|thumb]]		[[File:Network-of-Groups-Example.png\|center\|600px\|thumb]]

	==Referensi==		==Referensi==

Onnowpurbo: /* Contoh */

2020-04-06T04:57:10Z

Contoh

← Older revision		Revision as of 04:57, 6 April 2020
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	==Contoh==		==Contoh==

	Dalam contoh ini, kita akan menggunakan airtraffic data set, yang di load menggunakan Network File ~~widget~~. Kita dapat melihat seluruh data set di Network Explorer (1).		Dalam contoh ini, kita akan menggunakan airtraffic data set, yang di load menggunakan widget Network File. Kita dapat melihat seluruh data set di widget Network Explorer(1).

	Kemudian kita menggunakan Network of Groups untuk mengelompokan (group) dari network berdasarkan atribut FAA Classification. Semua node dengan nilai yang atribut yang sama akan di representasikan dengan single node di output. Akan ada edge antars dua (2) node, jika mereka berbagi connection di network original.		Kemudian kita menggunakan widget Network of Groups untuk mengelompokan (group) dari network berdasarkan atribut FAA Classification. Semua node dengan nilai yang atribut yang sama akan di representasikan dengan single node di output. Akan ada edge antars dua (2) node, jika mereka berbagi connection di network original.

	Grouped network di perlihatkan di Network Explorer.		Grouped network di perlihatkan di widget Network Explorer.

	[[File:Network-of-Groups-Example.png\|center\|200px\|thumb]]		[[File:Network-of-Groups-Example.png\|center\|200px\|thumb]]



	==Referensi==		==Referensi==

Onnowpurbo at 03:58, 22 February 2020

2020-02-22T03:58:28Z

← Older revision		Revision as of 03:58, 22 February 2020
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			Mengelompokan (group) instance berdasarkan feature dan connect related group.
	~~Group instances by~~ feature ~~and~~ connect related ~~groups~~.

	==Input==		==Input==
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	Data: Properties of the group network graph.		Data: Properties of the group network graph.

	Network of Groups ~~is the~~ network ~~version of the~~ group-by operation. ~~Nodes with the same values of the attribute~~, ~~selected in the~~ dropdown, will ~~be represented as a~~ single node.		Network of Groups adalah versi network dari group-by operation. Node dengan nilai atribut yang sama, di pilih dalam dropdown, will di representasikan sebagai sebuah single node.

	[[File:Network-of-Groups-stamped.png\|center\|200px\|thumb]]		[[File:Network-of-Groups-stamped.png\|center\|200px\|thumb]]
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	==Contoh==		==Contoh==

	~~In this example we are using~~ airtraffic data set, ~~that we loaded in the~~ Network File widget. ~~We see the entire~~ data set in Network Explorer (1).		Dalam contoh ini, kita akan menggunakan airtraffic data set, yang di load menggunakan Network File widget. Kita dapat melihat seluruh data set di Network Explorer (1).

	~~Then we use~~ Network of Groups to group ~~the~~ network ~~by the~~ FAA ~~Classifications attribute~~. ~~All nodes with the same value of this attribute will be represented as a~~ single node ~~in the~~ output. ~~There is an~~ edge ~~between the two nodes~~, ~~if they share connections in the~~ original ~~network~~.		Kemudian kita menggunakan Network of Groups untuk mengelompokan (group) dari network berdasarkan atribut FAA Classification. Semua node dengan nilai yang atribut yang sama akan di representasikan dengan single node di output. Akan ada edge antars dua (2) node, jika mereka berbagi connection di network original.

	~~The grouped~~ network ~~is shown in~~ Network Explorer.		Grouped network di perlihatkan di Network Explorer.

	[[File:Network-of-Groups-Example.png\|center\|200px\|thumb]]		[[File:Network-of-Groups-Example.png\|center\|200px\|thumb]]

Onnowpurbo at 05:13, 29 January 2020

2020-01-29T05:13:54Z

Onnowpurbo at 04:23, 25 January 2020

2020-01-25T04:23:57Z

← Older revision		Revision as of 04:23, 25 January 2020
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	Network of Groups is the network version of the group-by operation. Nodes with the same values of the attribute, selected in the dropdown, will be represented as a single node.		Network of Groups is the network version of the group-by operation. Nodes with the same values of the attribute, selected in the dropdown, will be represented as a single node.

			[[File:Network-of-Groups-stamped.png\|center\|200px\|thumb]]

	Information on the input and output network.		Information on the input and output network.
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	Sum of connection weights: weight edges by the sum of weights of connections between the groups. Normalize by geometric mean divides weights by the geometric mean of the number of connections between the two groups.		Sum of connection weights: weight edges by the sum of weights of connections between the groups. Normalize by geometric mean divides weights by the geometric mean of the number of connections between the two groups.

	~~Example~~		==Contoh==

	In this example we are using airtraffic data set, that we loaded in the Network File widget. We see the entire data set in Network Explorer (1).		In this example we are using airtraffic data set, that we loaded in the Network File widget. We see the entire data set in Network Explorer (1).
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	The grouped network is shown in Network Explorer.		The grouped network is shown in Network Explorer.

			[[File:Network-of-Groups-Example.png\|center\|200px\|thumb]]

Onnowpurbo: Created page with "Sumber: https://orange.biolab.si/widget-catalog/networks/networkofgroups/ Group instances by feature and connect related groups. Inputs Network: An instance of networ..."

2020-01-20T02:36:53Z

Created page with "Sumber: https://orange.biolab.si/widget-catalog/networks/networkofgroups/ Group instances by feature and connect related groups. Inputs Network: An instance of networ..."

New page

Sumber: https://orange.biolab.si/widget-catalog/networks/networkofgroups/

Group instances by feature and connect related groups.

Inputs

Network: An instance of network graph.
Data: Properties of a network graph.

Outputs:

Network: A grouped network graph.
Data: Properties of the group network graph.

Network of Groups is the network version of the group-by operation. Nodes with the same values of the attribute, selected in the dropdown, will be represented as a single node.

Information on the input and output network.
Select the attribute to group by.
Compute weights:
No weights: all weights are set to 1.
Number of connections: weight edges by the number of connections between the groups.
Sum of connection weights: weight edges by the sum of weights of connections between the groups. Normalize by geometric mean divides weights by the geometric mean of the number of connections between the two groups.

Example

In this example we are using airtraffic data set, that we loaded in the Network File widget. We see the entire data set in Network Explorer (1).

Then we use Network of Groups to group the network by the FAA Classifications attribute. All nodes with the same value of this attribute will be represented as a single node in the output. There is an edge between the two nodes, if they share connections in the original network.

The grouped network is shown in Network Explorer.

==Referensi==

* https://orange.biolab.si/widget-catalog/networks/networkofgroups/

==Pranala Menarik==

* [[Orange]]

← Older revision		Revision as of 05:13, 29 January 2020
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	Group instances by feature and connect related groups.		Group instances by feature and connect related groups.

	~~Inputs~~		==Input==

	Network: An instance of network graph.		Network: An instance of network graph.
	Data: Properties of a network graph.		Data: Properties of a network graph.

	~~Outputs:~~		==Output==

	Network: A grouped network graph.		Network: A grouped network graph.
	Data: Properties of the group network graph.		Data: Properties of the group network graph.

	Network of Groups is the network version of the group-by operation. Nodes with the same values of the attribute, selected in the dropdown, will be represented as a single node.		Network of Groups is the network version of the group-by operation. Nodes with the same values of the attribute, selected in the dropdown, will be represented as a single node.
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	[[File:Network-of-Groups-stamped.png\|center\|200px\|thumb]]		[[File:Network-of-Groups-stamped.png\|center\|200px\|thumb]]

	Information on the input and output network.		* Information on the input and output network.
	Select the attribute to group by.		* Select the attribute to group by.
	Compute weights:		* Compute weights:
	No weights: all weights are set to 1.		** No weights: all weights are set to 1.
	Number of connections: weight edges by the number of connections between the groups.		** Number of connections: weight edges by the number of connections between the groups.
	Sum of connection weights: weight edges by the sum of weights of connections between the groups. Normalize by geometric mean divides weights by the geometric mean of the number of connections between the two groups.		** Sum of connection weights: weight edges by the sum of weights of connections between the groups. Normalize by geometric mean divides weights by the geometric mean of the number of connections between the two groups.

	==Contoh==		==Contoh==