Analyzing Network Connections...
Network Profile
How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Adrienne Cowan] *
256 [Winds Of Plague] *
4 [Art Cruz] *
1 [Michael Montoya] *
1 [Nick Eash] *
9 [Andrew Glover] *
4 [Shane Slade] *
4 [Alana Potocnik] *
1 [Kristen Randall] *
1 [Brandon Galindo] *
4 [Chris Cooke] *
1 [Jeff Tenney] *
1 [Kevin Grant (4)] *
1 [Matt Fineman] *
1 [Nick Piunno] *
1 [Paul Salem]
)
= 9.44M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Adrienne Cowan] *
1 [Winds Of Plague] *
1 [Art Cruz] *
1 [Michael Montoya] *
1 [Nick Eash] *
1 [Andrew Glover] *
1 [Shane Slade] *
1 [Alana Potocnik] *
1 [Kristen Randall] *
1 [Brandon Galindo] *
1 [Chris Cooke] *
1 [Jeff Tenney] *
1 [Kevin Grant (4)] *
1 [Matt Fineman] *
1 [Nick Piunno] *
1 [Paul Salem]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Winds Of Plague 83.39%Adrienne Cowan 5.21%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 26, 10:16 PM
Landkreis Merzig-Wadern, Germany
208
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