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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 4 [James Connelly] *
121 [Kill Hannah] *
1 [Allen Morgenstern] *
1 [Dan Wiese] *
1 [Daniel Wenberg] *
1 [Elias Mallin] *
1 [Garret Hammond] *
1 [Greg Corner] *
1 [Isaac Bender] *
1 [Kerry Finerty] *
1 [Mat Devine] *
1 [Billy Howerdel] *
36 [Jeff Friedl] *
36 [Ashes Divide] *
1 [Adam Monroe (3)] *
100 [Andy Gerold] *
256 [Josh Freese]
)
= 64.23B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [James Connelly] *
1 [Kill Hannah] *
1 [Allen Morgenstern] *
1 [Dan Wiese] *
1 [Daniel Wenberg] *
1 [Elias Mallin] *
1 [Garret Hammond] *
1 [Greg Corner] *
1 [Isaac Bender] *
1 [Kerry Finerty] *
1 [Mat Devine] *
1 [Billy Howerdel] *
1 [Jeff Friedl] *
1 [Ashes Divide] *
1 [Adam Monroe (3)] *
1 [Andy Gerold] *
1 [Josh Freese]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Josh Freese 45.07%Kill Hannah 21.30%Andy Gerold 17.61%Jeff Friedl 6.34%Ashes Divide 6.34%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)