Network Profile
View Network Math
Overall Strength
0.63%
of network20 )
Direct Connections
4
Node & Network Strength Details
×
How is this calculated? The math continuously tracks how strongly this post is connected to the rest of the website.
Every tag forms a network link. The pie charts below show each connected post's base strength (PV) and influence (IV) as a share of this post's direct neighbourhood.
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Base Node Strength
4
Base Node Influence
1
Connected Nodes
17
Strength Share (vs Direct Neighbours)
0.63%
(2.10 × 1020 overall)
This Post (0.63%) George Gaynes (7.66%) Ron Perlman (5.63%) Claire Forlani (5.63%) Gregg Berger (5.63%) Stuart Nisbet (5.63%) David St. James (3.91%) Michael Winslow (3.91%) David Graf (1.41%) Leslie Easterbrook (1.41%) G.W. Bailey (1.41%) Charlie Schlatter (0.63%) Richard Israel (0.63%) Robert Iannaccone (0.63%) Vadim Dolgachov (0.63%) Valeriy Yaremenko (0.63%) Vladimir Dolinskiy (0.63%)
Dominant nodes (excluded from chart) Police Academy: Mission to Moscow 53.44%
Influence Share (vs Direct Neighbours)
This Post (5.54%) Police Academy: Mission to Moscow (5.85%) David St. James (5.54%) Ron Perlman (5.54%) George Gaynes (5.54%) Michael Winslow (5.54%) Charlie Schlatter (5.54%) Claire Forlani (5.54%) David Graf (5.54%) Gregg Berger (5.54%) Leslie Easterbrook (5.54%) Richard Israel (5.54%) Robert Iannaccone (5.54%) Stuart Nisbet (5.54%) G.W. Bailey (5.54%) Vadim Dolgachov (5.54%) Valeriy Yaremenko (5.54%) Vladimir Dolinskiy (5.54%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Outbound Tags (2)
Police Academy: Mission to Moscow
Last calculated math cycle: May 3, 3:21 AM
Close Report
Analyzing Network Connections...
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Depth: 1 Level
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Depth: 7 Levels
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