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 [Cai Cohrs] *
16 [Sebastian Koch] *
324 [Never Look Away] *
9 [Evgeniy Sidikhin] *
1 [Hanno Koffler] *
4 [Hans-Uwe Bauer] *
16 [Ina Weisse] *
16 [Jeanette Hain] *
25 [Johanna Gastdorf] *
16 [Jonas Dassler] *
16 [Lars Eidinger] *
16 [Oliver Masucci] *
25 [Paula Beer] *
25 [Saskia Rosendahl] *
1 [Tom Schilling] *
1 [Ulrike C. Tscharre] *
1 [David Schütter] *
1 [Jörg Schüttauf]
)
= 3.67 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Cai Cohrs] *
1 [Sebastian Koch] *
1 [Never Look Away] *
1 [Evgeniy Sidikhin] *
1 [Hanno Koffler] *
1 [Hans-Uwe Bauer] *
1 [Ina Weisse] *
1 [Jeanette Hain] *
1 [Johanna Gastdorf] *
1 [Jonas Dassler] *
1 [Lars Eidinger] *
1 [Oliver Masucci] *
1 [Paula Beer] *
1 [Saskia Rosendahl] *
1 [Tom Schilling] *
1 [Ulrike C. Tscharre] *
1 [David Schütter] *
1 [Jörg Schüttauf]
)
= 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)
0.19%
(3.67 × 1016 overall)
Dominant nodes (excluded from chart)Never Look Away 61.60%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)