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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 64 [Hot Hot Heat] *
1 [Parker Bossley] *
16 [Steve Bays] *
16 [Dustin Hawthorne] *
1 [Paul Hawley] *
1 [Chris Jean Pierre] *
1 [Luke Paquin] *
1 [Matthew Marnik] *
121 [Frog Eyes] *
49 [Carey Mercer] *
4 [Spencer Krug] *
1 [John Paton] *
1 [Matt Skillings] *
1 [McCloud Zicmuse] *
1 [Melanie Campbell] *
1 [Michael Rak] *
1 [Patrick Beattie] *
1 [Shyla Seller] *
1 [Terri Upton]
)
= 1.55B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Hot Hot Heat] *
1 [Parker Bossley] *
1 [Steve Bays] *
1 [Dustin Hawthorne] *
1 [Paul Hawley] *
1 [Chris Jean Pierre] *
1 [Luke Paquin] *
1 [Matthew Marnik] *
1 [Frog Eyes] *
1 [Carey Mercer] *
1 [Spencer Krug] *
1 [John Paton] *
1 [Matt Skillings] *
1 [McCloud Zicmuse] *
1 [Melanie Campbell] *
1 [Michael Rak] *
1 [Patrick Beattie] *
1 [Shyla Seller] *
1 [Terri Upton]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Frog Eyes 42.16%Hot Hot Heat 22.30%Carey Mercer 17.07%Steve Bays 5.57%Dustin Hawthorne 5.57%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)