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, 17) = 17
$outbound = max(1, 17) = 17
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 17 * 17 = 289
Base_Influence (IV) = $inbound / $outbound = 17 / 17 = 1
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 289 *
( 1 [Moritz Bleibtreu] *
324 [Hotel Elfie] *
16 [Sandra Borgmann] *
4 [The Baader Meinhof Complex] *
1 [Der König von Palma] *
225 [Asudem] *
4 [Ernest Hausmann] *
4 [Cem Akin] *
1 [Branka Katic] *
1 [Fatih Akin] *
1 [Hans Daglioglu] *
1 [Jochen Nickel] *
1 [Linda Wagener] *
1 [Mehmet Kurtulus] *
1 [Dr. Stein] *
1 [Nina Lauterbach] *
1 [Birol Ünel] *
4 [Gábor Salinger] *
1 [Idil Üner] *
1 [Julia Bähre] *
1 [Niños con Bombas] *
324 [In the Fade] *
324 [Cop Mortem]
)
= 9.06 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Moritz Bleibtreu] *
1 [Hotel Elfie] *
1 [Sandra Borgmann] *
1 [The Baader Meinhof Complex] *
1 [Der König von Palma] *
1 [Asudem] *
1 [Ernest Hausmann] *
1 [Cem Akin] *
1 [Branka Katic] *
1 [Fatih Akin] *
1 [Hans Daglioglu] *
1 [Jochen Nickel] *
1 [Linda Wagener] *
1 [Mehmet Kurtulus] *
1 [Dr. Stein] *
1 [Nina Lauterbach] *
1 [Birol Ünel] *
1 [Gábor Salinger] *
1 [Idil Üner] *
1 [Julia Bähre] *
1 [Niños con Bombas] *
1 [In the Fade] *
1 [Cop Mortem]
)
= 1
Outbound
17
Tags on post
Inbound
17
Posts tagging this
Connections
23
Total nodes
Base Node Strength
289
Base Node Influence
1
Strength Share (vs Direct Neighbours)
18.86%
(9.06 × 1015 overall)
Dominant nodes (excluded from chart)Hotel Elfie 21.15%In the Fade 21.15%Cop Mortem 21.15%Asudem 14.69%Sandra Borgmann 1.04%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)