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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 81 [TNT (15)] *
4 [Blonde On Blonde (3)] *
4 [Perfect Crime (3)] *
1 [Stokkan] *
441 [John Macaluso] *
49 [Tony Harnell] *
25 [Dag Ingebrigtsen] *
9 [Frode Lamøy] *
64 [Morten Skaget] *
4 [Morten Skogstad] *
36 [Ronni Le Tekrø] *
81 [Morty Black] *
64 [Jimmy Iversen]
)
= 4.82 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [TNT (15)] *
1 [Blonde On Blonde (3)] *
1 [Perfect Crime (3)] *
1 [Stokkan] *
1 [John Macaluso] *
1 [Tony Harnell] *
1 [Dag Ingebrigtsen] *
1 [Frode Lamøy] *
1 [Morten Skaget] *
1 [Morten Skogstad] *
1 [Ronni Le Tekrø] *
1 [Morty Black] *
1 [Jimmy Iversen]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
13
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.82%
(4.82 × 1018 overall)
Dominant nodes (excluded from chart)John Macaluso 50.17%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)