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 *
( 30 [Nathan Fillion] *
16 [Lori Lewis] *
25 [Clémentine Delauney] *
1 [Cristian Hermsdörfer] *
16 [Fabio D'Amore] *
1 [Franz-Josef Hauser] *
16 [Georg Neuhauser] *
1 [Live musicians] *
1 [Mario Hirzinger] *
1 [Matthias Anker] *
1 [Nik Müller] *
1 [Simon Holzknecht] *
1 [Stefan Schipflinger] *
1 [Stefan Wanker] *
1 [Thomas Buchberger] *
240 [Serenity]
)
= 737.28M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.2 [Nathan Fillion] *
1 [Lori Lewis] *
1 [Clémentine Delauney] *
1 [Cristian Hermsdörfer] *
1 [Fabio D'Amore] *
1 [Franz-Josef Hauser] *
1 [Georg Neuhauser] *
1 [Live musicians] *
1 [Mario Hirzinger] *
1 [Matthias Anker] *
1 [Nik Müller] *
1 [Simon Holzknecht] *
1 [Stefan Schipflinger] *
1 [Stefan Wanker] *
1 [Thomas Buchberger] *
0.9375 [Serenity]
)
= 1.13
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)
Dominant nodes (excluded from chart)Serenity 67.80%Nathan Fillion 8.47%Clémentine Delauney 7.06%Lori Lewis 4.52%Fabio D'Amore 4.52%Georg Neuhauser 4.52%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)