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 *
( 144 [Uli Kusch] *
324 [Mekong Delta] *
196 [Jörg Michael] *
1 [Benedikt Zimniak] *
1 [Doug Lee] *
1 [Erik Grösch] *
1 [Frank Fricke] *
1 [Jochen Schroeder] *
1 [Leszek Szpigiel] *
4 [Martin LeMar] *
144 [Alex Landenburg] *
36 [Peavy Wagner] *
1 [Peter "Peavy" Wagner] *
9 [Peter Haas] *
1 [Ralph Hubert] *
1 [Reiner Kelch] *
1 [Uwe Baltrusch] *
1 [Wolfgang Borgmann]
)
= 1.71T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Uli Kusch] *
1 [Mekong Delta] *
1 [Jörg Michael] *
1 [Benedikt Zimniak] *
1 [Doug Lee] *
1 [Erik Grösch] *
1 [Frank Fricke] *
1 [Jochen Schroeder] *
1 [Leszek Szpigiel] *
1 [Martin LeMar] *
1 [Alex Landenburg] *
1 [Peavy Wagner] *
1 [Peter "Peavy" Wagner] *
1 [Peter Haas] *
1 [Ralph Hubert] *
1 [Reiner Kelch] *
1 [Uwe Baltrusch] *
1 [Wolfgang Borgmann]
)
= 1
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)
Dominant nodes (excluded from chart)Mekong Delta 37.28%Jörg Michael 22.55%Uli Kusch 16.57%Alex Landenburg 16.57%Peavy Wagner 4.14%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)