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, 9) = 9
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 81 *
( 342 [Lautten Compagney] *
4 [Daniel Deuter] *
1 [Bernhard Hentrich] *
1 [Eva Maria Horn] *
1 [Stefan Maass] *
1 [Stephan Rath (2)] *
1 [Tobias Schade] *
1 [Torsten Hoppe] *
1 [Wolfgang Von Kessinger] *
1.1K [Cantus Cölln] *
324 [Collegium 1704] *
6 [Caroline Kersten]
)
= 234.58B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.06 [Lautten Compagney] *
1 [Daniel Deuter] *
1 [Bernhard Hentrich] *
1 [Eva Maria Horn] *
1 [Stefan Maass] *
1 [Stephan Rath (2)] *
1 [Tobias Schade] *
1 [Torsten Hoppe] *
1 [Wolfgang Von Kessinger] *
1 [Cantus Cölln] *
1 [Collegium 1704] *
0.6667 [Caroline Kersten]
)
= 0.7038
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Connections
12
Total nodes
Base Node Strength
81
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Cantus Cölln 58.77%Lautten Compagney 18.46%Collegium 1704 17.49%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)