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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 20 [Stephan Grossmann] *
36 [Daniel Brühl] *
324 [Good Bye Lenin!] *
4 [Hans-Uwe Bauer] *
16 [Alexander Beyer] *
16 [Christine Schorn] *
16 [Chulpan Khamatova] *
1 [Eberhard Kirchberg] *
1 [Felicitas Hatscher] *
9 [Florian Lukas] *
1 [Jelena Kratz] *
1 [Jochen Stern] *
1 [Laureen Hatscher] *
1 [Maria Simon] *
1 [Michael Gwisdek] *
1 [Nico Ledermueller] *
1 [Stefan Walz] *
1 [Burghart Klaußner] *
1 [Jürgen Holtz] *
9 [The Weissensee Saga] *
1 [Heidi M.] *
1 [Bürgschaft für ein Jahr]
)
= 4.95T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Stephan Grossmann] *
1 [Daniel Brühl] *
1 [Good Bye Lenin!] *
1 [Hans-Uwe Bauer] *
1 [Alexander Beyer] *
1 [Christine Schorn] *
1 [Chulpan Khamatova] *
1 [Eberhard Kirchberg] *
1 [Felicitas Hatscher] *
1 [Florian Lukas] *
1 [Jelena Kratz] *
1 [Jochen Stern] *
1 [Laureen Hatscher] *
1 [Maria Simon] *
1 [Michael Gwisdek] *
1 [Nico Ledermueller] *
1 [Stefan Walz] *
1 [Burghart Klaußner] *
1 [Jürgen Holtz] *
1 [The Weissensee Saga] *
1 [Heidi M.] *
1 [Bürgschaft für ein Jahr]
)
= 1.25
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
22
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Good Bye Lenin! 67.64%Daniel Brühl 7.52%Stephan Grossmann 4.18%Alexander Beyer 3.34%Christine Schorn 3.34%Chulpan Khamatova 3.34%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)