Standard Network Analysis: location---task-event

Standard Network Analysis: location---task-event

Input data: location---task-event

Start time: Tue Oct 18 12:08:54 2011

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Network Level Measures

MeasureValue
Row count66.000
Column count22.000
Link count17.000
Density0.012

Node Level Measures

MeasureMinMaxAvgStddev
In-degree centrality0.0000.0400.0060.010
In-degree centrality [Unscaled]0.0008.0001.1361.890
Out-degree centrality0.0000.0610.0060.013
Out-degree centrality [Unscaled]0.0004.0000.3790.849

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): location---task-event

RankTaskValueUnscaled
1kill0.0408.000
2war0.0204.000
3accus0.0153.000
4airstrik0.0153.000
5weapons-monitor0.0102.000
6airstrike0.0051.000
7serv0.0051.000
8support0.0051.000
9rocket-test0.0051.000
10suspect0.0051.000

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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): location---task-event

RankLocationValueUnscaled
1israel0.0614.000
2iraq0.0453.000
3middle_east0.0453.000
4haifa0.0453.000
5gaza_city0.0302.000
6gaza_strip0.0151.000
7al-musayyi0.0151.000
8lebanon0.0151.000
9damascu0.0151.000
10tulkarm0.0151.000

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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-israel-
2----war-iraq-
3----accus-middle_east-
4----airstrik-haifa-
5----weapons-monitor-gaza_city-
6----airstrike-gaza_strip-
7----serv-al-musayyi-
8----support-lebanon-
9----rocket-test-damascu-
10----suspect-tulkarm-