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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 25 [Bestial Creation] *
4 [Disma] *
169 [Daryl Kahan] *
9 [Darkened (3)] *
1 [Abazagorath] *
1 [Citizens Arrest] *
1 [Forced Expression] *
1 [Funebrarum] *
1 [Gorebitch] *
4 [Power Of Expression] *
1 [Taste Of Fear] *
1 [True Colors (3)] *
1 [Voice Of Hate] *
100 [Team Dresch] *
1 [Jane Hohenberger's Spook Engine] *
1 [Sugarshock] *
1 [The Butchies] *
1 [The Manacled] *
1 [Vitapup] *
49 [melissa-york]
)
= 11.92B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Bestial Creation] *
1 [Disma] *
1 [Daryl Kahan] *
1 [Darkened (3)] *
1 [Abazagorath] *
1 [Citizens Arrest] *
1 [Forced Expression] *
1 [Funebrarum] *
1 [Gorebitch] *
1 [Power Of Expression] *
1 [Taste Of Fear] *
1 [True Colors (3)] *
1 [Voice Of Hate] *
1 [Team Dresch] *
1 [Jane Hohenberger's Spook Engine] *
1 [Sugarshock] *
1 [The Butchies] *
1 [The Manacled] *
1 [Vitapup] *
1 [melissa-york]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Daryl Kahan 44.83%Team Dresch 26.53%melissa-york 13.00%Bestial Creation 6.63%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 5, 8:03 PM
King County, United States
57
Related Content
No related content found.