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, 3) = 3
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 24 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 12 [Brandon Buddy] *
1 [Johnny Wadham] *
9 [Dino Narizzano] *
441 [One Life to Live] *
9 [Gina Tognoni] *
9 [Kim Zimmer] *
1 [Antony Ponzini] *
9 [Bree Williamson] *
25 [Doris Belack] *
1 [Farah Fath] *
16 [Hillary B. Smith] *
9 [Jerry verDorn] *
9 [John-Paul Lavoisier] *
1 [Kassie Wesley DePaiva] *
16 [Kristen Alderson] *
25 [Lee Patterson] *
4 [Melissa Archer] *
9 [Michael Easton] *
1 [Michael Storm] *
1 [Nat Polen] *
4 [Robert S. Woods] *
4 [Robin Strasser] *
1 [Next Stop, Christmas] *
2 [Full Circle]
)
= 3.11 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1.33 [Brandon Buddy] *
1 [Johnny Wadham] *
1 [Dino Narizzano] *
1 [One Life to Live] *
1 [Gina Tognoni] *
1 [Kim Zimmer] *
1 [Antony Ponzini] *
1 [Bree Williamson] *
1 [Doris Belack] *
1 [Farah Fath] *
1 [Hillary B. Smith] *
1 [Jerry verDorn] *
1 [John-Paul Lavoisier] *
1 [Kassie Wesley DePaiva] *
1 [Kristen Alderson] *
1 [Lee Patterson] *
1 [Melissa Archer] *
1 [Michael Easton] *
1 [Michael Storm] *
1 [Nat Polen] *
1 [Robert S. Woods] *
1 [Robin Strasser] *
1 [Next Stop, Christmas] *
0.5 [Full Circle]
)
= 1
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
24
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
0.96%
(3.11 × 1018 overall)
Dominant nodes (excluded from chart)One Life to Live 70.56%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)