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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 81 *
( 81 [Emil Nikolaisen] *
1 [Erlend Aasland] *
1 [Fred Strand] *
1 [Frode Strà ̧mstad] *
1 [JÃ ̧rgen Aasland] *
1 [Kjetil Ovesen] *
1 [Odd Reidar Gudmestad] *
1 [Ole Reidar Gudmestad] *
1 [Anne Lise Frà ̧kedal] *
100 [Extol] *
49 [Serena Maneesh] *
1 [Selfmindead] *
1 [Animal Town] *
4 [Bouquet (10)] *
1 [Royal (3)] *
4 [Silver (8)] *
1 [The Loch Ness Mouse]
)
= 514.38M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Emil Nikolaisen] *
1 [Erlend Aasland] *
1 [Fred Strand] *
1 [Frode Strà ̧mstad] *
1 [JÃ ̧rgen Aasland] *
1 [Kjetil Ovesen] *
1 [Odd Reidar Gudmestad] *
1 [Ole Reidar Gudmestad] *
1 [Anne Lise Frà ̧kedal] *
1 [Extol] *
1 [Serena Maneesh] *
1 [Selfmindead] *
1 [Animal Town] *
1 [Bouquet (10)] *
1 [Royal (3)] *
1 [Silver (8)] *
1 [The Loch Ness Mouse]
)
= 1
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Connections
17
Total nodes
Base Node Strength
81
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Extol 30.21%Emil Nikolaisen 24.47%Serena Maneesh 14.80%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)