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 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 49 [Ophthalamia] *
4 [Erik Hagstedt] *
36 [Tony Särkkä] *
9 [Benny Larsson] *
4 [Ole Ãhman] *
16 [Jim Berger] *
1 [Jon Nödtveidt] *
961 [Dan Swanö] *
49 [Pan.thy.monium] *
16 [Roberth Karlsson] *
25 [Anders Nyström] *
1 [Johnny Öhlin] *
1 [Peter Pettersson]
)
= 306.21T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Ophthalamia] *
1 [Erik Hagstedt] *
1 [Tony Särkkä] *
1 [Benny Larsson] *
1 [Ole Ãhman] *
1 [Jim Berger] *
1 [Jon Nödtveidt] *
1 [Dan Swanö] *
1 [Pan.thy.monium] *
1 [Roberth Karlsson] *
1 [Anders Nyström] *
1 [Johnny Öhlin] *
1 [Peter Pettersson]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
13
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Dan Swanö 81.72%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)