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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 256 [General Surgery] *
1 [Andreas Eriksson (3)] *
4 [Mats Nordrup] *
9 [Urban Skytt] *
9 [Jonas Deroueche] *
1 [Joacim Carlsson] *
4 [Johan Wallin (3)] *
36 [Matti Kärki] *
4 [Adde Mitroulis] *
9 [Glenn Sykes] *
81 [Richard Cabeza] *
225 [Hero Destroyed] *
225 [Incantation[5]] *
1 [Acute abdomen] *
1 [Edwin Smith Papyrus] *
4 [Erik Sahlström]
)
= 7.05 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [General Surgery] *
1 [Andreas Eriksson (3)] *
1 [Mats Nordrup] *
1 [Urban Skytt] *
1 [Jonas Deroueche] *
1 [Joacim Carlsson] *
1 [Johan Wallin (3)] *
1 [Matti Kärki] *
1 [Adde Mitroulis] *
1 [Glenn Sykes] *
1 [Richard Cabeza] *
1 [Hero Destroyed] *
1 [Incantation[5]] *
1 [Acute abdomen] *
1 [Edwin Smith Papyrus] *
1 [Erik Sahlström]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.11%
(7.05 × 1015 overall)
Dominant nodes (excluded from chart)General Surgery 29.39%Hero Destroyed 25.83%Incantation[5] 25.83%Richard Cabeza 9.30%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)