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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 12 [Nicole Boguth] *
20 [Otto Tausig] *
42 [John Van Dreelen] *
16 [Wanja Mues] *
324 [Unsere Hagenbecks] *
25 [Beatrice Kessler] *
4 [Charles Regnier] *
1 [Christian Dalesch] *
1 [Daphne Wagner] *
1 [Dirk Martens] *
1 [Franz Josef Steffens] *
1 [Giulia Follina] *
1 [Lonny Kellner] *
16 [Peter Striebeck] *
16 [Rainer Rudolph] *
1 [Tilly Lauenstein] *
1 [Traudel Sperber] *
1 [Jörg Pleva] *
1 [Der Vereinsmeier] *
1 [Die Kuba-Krise 1962] *
1 [Tag für Tag]
)
= 21.4T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Nicole Boguth] *
1.25 [Otto Tausig] *
1.17 [John Van Dreelen] *
1 [Wanja Mues] *
1 [Unsere Hagenbecks] *
1 [Beatrice Kessler] *
1 [Charles Regnier] *
1 [Christian Dalesch] *
1 [Daphne Wagner] *
1 [Dirk Martens] *
1 [Franz Josef Steffens] *
1 [Giulia Follina] *
1 [Lonny Kellner] *
1 [Peter Striebeck] *
1 [Rainer Rudolph] *
1 [Tilly Lauenstein] *
1 [Traudel Sperber] *
1 [Jörg Pleva] *
1 [Der Vereinsmeier] *
1 [Die Kuba-Krise 1962] *
1 [Tag für Tag]
)
= 1.94
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
21
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Unsere Hagenbecks 64.41%John Van Dreelen 8.35%Beatrice Kessler 4.97%Otto Tausig 3.98%Wanja Mues 3.18%Peter Striebeck 3.18%Rainer Rudolph 3.18%Nicole Boguth 2.39%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)