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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Harald Maack] *
16 [Nina von Arx] *
324 [Hotel Elfie] *
16 [Annette Kreft] *
1 [Christopher Novak] *
25 [Doris Kunstmann] *
16 [Günther Grabbert] *
16 [Ingrit Dohse] *
16 [Jean-Pierre Cornu] *
25 [Jennifer Steffens] *
9 [Manon Straché] *
1 [Mark Horstmann] *
1 [Neithardt Riedel] *
25 [Ole Puppe] *
16 [Sandra Borgmann] *
16 [Senta Sommerfeld] *
16 [Thomas Limpinsel] *
25 [Willem Fricke]
)
= 5.87 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Harald Maack] *
1 [Nina von Arx] *
1 [Hotel Elfie] *
1 [Annette Kreft] *
1 [Christopher Novak] *
1 [Doris Kunstmann] *
1 [Günther Grabbert] *
1 [Ingrit Dohse] *
1 [Jean-Pierre Cornu] *
1 [Jennifer Steffens] *
1 [Manon Straché] *
1 [Mark Horstmann] *
1 [Neithardt Riedel] *
1 [Ole Puppe] *
1 [Sandra Borgmann] *
1 [Senta Sommerfeld] *
1 [Thomas Limpinsel] *
1 [Willem Fricke]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.17%
(5.87 × 1019 overall)
Dominant nodes (excluded from chart)Hotel Elfie 56.15%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)