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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 4 [Torbjà ̧rn Sunde] *
25 [Jens Petter Antonsen] *
256 [Morten Halle] *
25 [Horns For Hire] *
9 [Ole Edvard Antonsen] *
196 [Undertakers Circus] *
4 [Ivar Hovden] *
1 [Erik Thoen] *
1 [Frank Myrseth] *
1 [Frode Kildal] *
1 [Johnny Torp] *
1 [Per Kristian Lindstad] *
1 [Rune Endal] *
1 [Stein Gudmundsen] *
1 [Svein Greni] *
1 [Thor S. Greni] *
1 [Wiggo Nilsen] *
1 [Kjell Kristoffersen] *
1 [Ãystein Bjà ̧rk]
)
= 18.06B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Torbjà ̧rn Sunde] *
1 [Jens Petter Antonsen] *
1 [Morten Halle] *
1 [Horns For Hire] *
1 [Ole Edvard Antonsen] *
1 [Undertakers Circus] *
1 [Ivar Hovden] *
1 [Erik Thoen] *
1 [Frank Myrseth] *
1 [Frode Kildal] *
1 [Johnny Torp] *
1 [Per Kristian Lindstad] *
1 [Rune Endal] *
1 [Stein Gudmundsen] *
1 [Svein Greni] *
1 [Thor S. Greni] *
1 [Wiggo Nilsen] *
1 [Kjell Kristoffersen] *
1 [Ãystein Bjà ̧rk]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Morten Halle 47.85%Undertakers Circus 36.64%Jens Petter Antonsen 4.67%Horns For Hire 4.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)