Standard Network Analysis: organization---resource

Standard Network Analysis: organization---resource

Input data: organization---resource

Start time: Tue Oct 18 12:09:24 2011

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Network Level Measures

MeasureValue
Row count38.000
Column count59.000
Link count22.000
Density0.010

Node Level Measures

MeasureMinMaxAvgStddev
In-degree centrality0.0000.0370.0030.006
In-degree centrality [Unscaled]0.0007.0000.5251.155
Out-degree centrality0.0000.0240.0030.005
Out-degree centrality [Unscaled]0.0007.0000.8161.620

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---resource

RankResourceValueUnscaled
1militari0.0377.000
2missil0.0214.000
3artilleri0.0163.000
4weapon0.0112.000
5militia0.0112.000
6hospit0.0051.000
7training_camp0.0051.000
8sponsor0.0051.000
9asset0.0051.000
10antitank0.0051.000

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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---resource

RankOrganizationValueUnscaled
1hezbollah0.0247.000
2islamic_jihad0.0175.000
3al-fatah0.0144.000
4hamas0.0144.000
5al-qaeda0.0103.000
6united_nations0.0072.000
7polic0.0031.000
8treasury0.0031.000
9network0.0031.000
10hawala0.0031.000

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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----militari-hezbollah-
2----missil-islamic_jihad-
3----artilleri-al-fatah-
4----weapon-hamas-
5----militia-al-qaeda-
6----hospit-united_nations-
7----training_camp-polic-
8----sponsor-treasury-
9----asset-network-
10----antitank-hawala-