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 25 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 169 [Fit For An Autopsy] *
1 [Josean Orta] *
4 [Nate Johnson] *
1 [Patrick Sheridan] *
1 [Peter Spinazola] *
1 [Tim Howley] *
1 [Will Putney] *
1 [Brian Mathis] *
1 [Joe Badolato] *
1 [Patrick Sheridan (2)] *
1 [Peter "Blue" Spinazola] *
1 [Seth Coleman] *
4 [Shane Slade] *
144 [Through the Eyes of the Dead] *
1 [Chris Anderson] *
4 [Steven Funderburk] *
1 [Anthony Gunnels] *
1 [Chris Henckel] *
1 [Danny Rodriguez (3)] *
4 [Dayton Cantley] *
1 [Jake Ososkie] *
1 [Jeff Springs] *
1 [Justin Longshore] *
1 [Mike Ranne] *
1 [Richard Turbeville]
)
= 24.92M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Fit For An Autopsy] *
1 [Josean Orta] *
1 [Nate Johnson] *
1 [Patrick Sheridan] *
1 [Peter Spinazola] *
1 [Tim Howley] *
1 [Will Putney] *
1 [Brian Mathis] *
1 [Joe Badolato] *
1 [Patrick Sheridan (2)] *
1 [Peter "Blue" Spinazola] *
1 [Seth Coleman] *
1 [Shane Slade] *
1 [Through the Eyes of the Dead] *
1 [Chris Anderson] *
1 [Steven Funderburk] *
1 [Anthony Gunnels] *
1 [Chris Henckel] *
1 [Danny Rodriguez (3)] *
1 [Dayton Cantley] *
1 [Jake Ososkie] *
1 [Jeff Springs] *
1 [Justin Longshore] *
1 [Mike Ranne] *
1 [Richard Turbeville]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
25
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Fit For An Autopsy 48.01%Through the Eyes of the Dead 40.91%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)