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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 1 [Brian Bauers] *
1 [Dave Tucker] *
9 [James Mullally] *
144 [Paul amorese] *
1 [Mike Chiavaro] *
25 [Bunny] *
49 [Libido] *
441 [Jefferson Starship] *
361 [Fishbone] *
1 [Visible from Space] *
1 [the WMDs] *
1 [The Commuters] *
1 [Jack Dishel and Only Son] *
1 [Hypnotic Clambake] *
1 [goodbyemotel] *
1 [Boutros Boutros] *
1 [Roto's Magic Act] *
4 [Bryan Scary & The Shredding Tears]
)
= 25.27T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Brian Bauers] *
1 [Dave Tucker] *
1 [James Mullally] *
1 [Paul amorese] *
1 [Mike Chiavaro] *
1 [Bunny] *
1 [Libido] *
1 [Jefferson Starship] *
1 [Fishbone] *
1 [Visible from Space] *
1 [the WMDs] *
1 [The Commuters] *
1 [Jack Dishel and Only Son] *
1 [Hypnotic Clambake] *
1 [goodbyemotel] *
1 [Boutros Boutros] *
1 [Roto's Magic Act] *
1 [Bryan Scary & The Shredding Tears]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
18
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Jefferson Starship 41.25%Fishbone 33.77%Paul amorese 13.47%Libido 4.58%Bunny 2.34%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 14, 2:45 AM
New York, New York County, United States
73
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