Standard Network Analysis: organization---task-event

Standard Network Analysis: organization---task-event

Input data: organization---task-event

Start time: Tue Oct 18 12:09:29 2011

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Network Level Measures

MeasureValue
Row count38.000
Column count22.000
Link count12.000
Density0.014

Node Level Measures

MeasureMinMaxAvgStddev
In-degree centrality0.0000.0610.0060.014
In-degree centrality [Unscaled]0.0007.0000.6821.634
Out-degree centrality0.0000.0610.0060.012
Out-degree centrality [Unscaled]0.0004.0000.3950.812

Key Nodes

In-degree centrality

The In Degree Centrality of a node is its normalized in-degree. For any node, e.g. an individual or a resource, the in-links are the connections that the node of interest receives from other nodes. For example, imagine an agent by knowledge matrix then the number of in-links a piece of knowledge has is the number of agents that are connected to. The scientific name of this measure is in-degree and it is calculated on the agent by agent matrices.

Input network(s): organization---task-event

RankTaskValueUnscaled
1kill0.0617.000
2arrest0.0354.000
3crime0.0091.000
4kidnap0.0091.000
5war0.0091.000
6accus0.0091.000

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Out-degree centrality

For any node, e.g. an individual or a resource, the out-links are the connections that the node of interest sends to other nodes. For example, imagine an agent by knowledge matrix then the number of out-links an agent would have is the number of pieces of knowledge it is connected to. The scientific name of this measure is out-degree and it is calculated on the agent by agent matrices. Individuals or organizations who are high in most knowledge have more expertise or are associated with more types of knowledge than are others. If no sub-network connecting agents to knowledge exists, then this measure will not be calculated. The scientific name of this measure is out degree centrality and it is calculated on agent by knowledge matrices. Individuals or organizations who are high in "most resources" have more resources or are associated with more types of resources than are others. If no sub-network connecting agents to resources exists, then this measure will not be calculated. The scientific name of this measure is out degree centrality and it is calculated on agent by resource matrices.

Input network(s): organization---task-event

RankOrganizationValueUnscaled
1hamas0.0614.000
2palestinian_authority0.0302.000
3mafia0.0302.000
4al-aksa0.0151.000
5al-qaeda0.0151.000
6taliban0.0151.000
7troop0.0151.000
8hezbollah0.0151.000
9council0.0151.000
10armi0.0151.000

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Key Nodes Table

This shows the top scoring nodes side-by-side for selected measures.

RankBetweenness centralityCloseness centralityEigenvector centralityEigenvector centrality per componentIn-degree centralityIn-Closeness centralityOut-degree centralityTotal degree centrality
1----kill-hamas-
2----arrest-palestinian_authority-
3----crime-mafia-
4----kidnap-al-aksa-
5----war-al-qaeda-
6----accus-taliban-
7----intifada-troop-
8----takeov-hezbollah-
9----airstrike-council-
10----raid-armi-