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 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 2 [Michael Riley] *
49 [Dragonlord] *
400 [Steve DiGiorgio] *
49 [Steve Smyth] *
9 [Derrick Ramirez] *
36 [Alex Bent] *
1 [Lyle Livingston] *
9 [Jon Allen] *
256 [This Is Wonderland] *
36 [Vik Sahay] *
36 [Cara Pifko] *
4 [Jayne Eastwood] *
1 [Alison Sealy-Smith] *
1 [Angela Vint] *
1 [Gina Wilkinson] *
1 [James Kidnie] *
1 [Janet-Laine Green] *
1 [Kathryn Winslow] *
1 [Michael Healey] *
1 [Ned Vukovic] *
1 [Sergio Di Zio] *
1 [Siu Ta] *
1 [Yanna McIntosh]
)
= 2.97 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Michael Riley] *
1 [Dragonlord] *
1 [Steve DiGiorgio] *
1 [Steve Smyth] *
1 [Derrick Ramirez] *
1 [Alex Bent] *
1 [Lyle Livingston] *
1 [Jon Allen] *
1 [This Is Wonderland] *
1 [Vik Sahay] *
1 [Cara Pifko] *
1 [Jayne Eastwood] *
1 [Alison Sealy-Smith] *
1 [Angela Vint] *
1 [Gina Wilkinson] *
1 [James Kidnie] *
1 [Janet-Laine Green] *
1 [Kathryn Winslow] *
1 [Michael Healey] *
1 [Ned Vukovic] *
1 [Sergio Di Zio] *
1 [Siu Ta] *
1 [Yanna McIntosh]
)
= 2
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
23
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.44%
(2.97 × 1016 overall)
Dominant nodes (excluded from chart)Steve DiGiorgio 44.35%This Is Wonderland 28.38%Dragonlord 5.43%Steve Smyth 5.43%Alex Bent 3.99%Vik Sahay 3.99%Cara Pifko 3.99%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)