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 *
( 12 [Derek Webster] *
1 [Hugh Dillon Redemption Choir] *
324 [Mayor of Kingstown] *
64 [Jeremy Renner] *
36 [Michael Beach] *
64 [Dianne Wiest] *
36 [Aidan Gillen] *
1 [Emma Laird] *
9 [George Tchortov] *
1 [Hamish Allan-Headley] *
16 [James Jordan] *
16 [Lane Garrison] *
16 [Necar Zadegan] *
1 [Nichole Galicia] *
16 [Ryan Rosery] *
16 [Taylor Handley] *
1 [Tobi Bamtefa] *
4 [Maia Jae Bastidas] *
1 [Pha'rez Lass]
)
= 3.12 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Derek Webster] *
1 [Hugh Dillon Redemption Choir] *
1 [Mayor of Kingstown] *
1 [Jeremy Renner] *
1 [Michael Beach] *
1 [Dianne Wiest] *
1 [Aidan Gillen] *
1 [Emma Laird] *
1 [George Tchortov] *
1 [Hamish Allan-Headley] *
1 [James Jordan] *
1 [Lane Garrison] *
1 [Necar Zadegan] *
1 [Nichole Galicia] *
1 [Ryan Rosery] *
1 [Taylor Handley] *
1 [Tobi Bamtefa] *
1 [Maia Jae Bastidas] *
1 [Pha'rez Lass]
)
= 1.33
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)
0.63%
(3.12 × 1018 overall)
Dominant nodes (excluded from chart)Mayor of Kingstown 50.70%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)