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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 9 [Abruptum] *
1 [Ext (3)] *
16 [Jim Berger] *
49 [Ophthalamia] *
4 [Erik Hagstedt] *
9 [Benny Larsson] *
4 [Robert Ivarsson] *
4 [Ole Ãhman] *
1 [Jon Nödtveidt] *
4 [Vondur] *
4 [Brejn Dedd] *
25 [War (4)] *
1 [8th Sin] *
961 [Dan Swanö] *
16 [Mikael Hedlund] *
100 [Peter Tägtgren] *
25 [David Parland]
)
= 2.25 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Abruptum] *
1 [Ext (3)] *
1 [Jim Berger] *
1 [Ophthalamia] *
1 [Erik Hagstedt] *
1 [Benny Larsson] *
1 [Robert Ivarsson] *
1 [Ole Ãhman] *
1 [Jon Nödtveidt] *
1 [Vondur] *
1 [Brejn Dedd] *
1 [War (4)] *
1 [8th Sin] *
1 [Dan Swanö] *
1 [Mikael Hedlund] *
1 [Peter Tägtgren] *
1 [David Parland]
)
= 1
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
17
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.84%
(2.25 × 1018 overall)
Dominant nodes (excluded from chart)Dan Swanö 75.73%Peter Tägtgren 7.88%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)