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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 1 [Ex Libris] *
256 [Xandria] *
49 [Jens Becker] *
1 [Gerit Lamm] *
1 [Marco Heubaum] *
1 [Philip Restemeier] *
4 [Steven Wussow] *
4 [Kerstin Bischof] *
1 [Aeva Maurelle] *
1 [Ambre Vourvahis] *
1 [Andreas Litschel] *
1 [Lisa Middelhauve] *
1 [Manuela Kraller] *
1 [Nils Middelhauve] *
1 [Robert Klawonn] *
1 [Tim Schwarz (2)] *
1 [Roland Krueger] *
2 [EX-LIBRIS]
)
= 1.61M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Ex Libris] *
1 [Xandria] *
1 [Jens Becker] *
1 [Gerit Lamm] *
1 [Marco Heubaum] *
1 [Philip Restemeier] *
1 [Steven Wussow] *
1 [Kerstin Bischof] *
1 [Aeva Maurelle] *
1 [Ambre Vourvahis] *
1 [Andreas Litschel] *
1 [Lisa Middelhauve] *
1 [Manuela Kraller] *
1 [Nils Middelhauve] *
1 [Robert Klawonn] *
1 [Tim Schwarz (2)] *
1 [Roland Krueger] *
0.5 [EX-LIBRIS]
)
= 0.5
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
18
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Xandria 77.11%Jens Becker 14.76%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
