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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 324 [Turbonegro] *
4 [Tommy Akerholdt] *
1 [Anders Gerner] *
1 [Anthony Sylvester] *
1 [Bengt Calmeyer] *
4 [Carlos Carrasco] *
1 [Hans Erik Dyvik Husby] *
1 [Harald Fossberg] *
49 [Knut Schreiner] *
1 [Ole Martin Martinsen] *
1 [Rolf Yngve Uggen] *
81 [Thomas Seltzer] *
1 [Tomas Dahl] *
1 [Vegard Heskestad] *
1 [HÃ¥kon Marius Pettersen] *
1 [Pål Bøttger Kjærnes] *
1 [PÃ¥l Erik Carlin] *
1 [Rune Grønn] *
4 [BigBang] *
81 [Nikolai Hængsle] *
9 [Tom Lund Band] *
1 [Lady Friend] *
4 [KÃ¥re & The Cavemen]
)
= 6T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Turbonegro] *
1 [Tommy Akerholdt] *
1 [Anders Gerner] *
1 [Anthony Sylvester] *
1 [Bengt Calmeyer] *
1 [Carlos Carrasco] *
1 [Hans Erik Dyvik Husby] *
1 [Harald Fossberg] *
1 [Knut Schreiner] *
1 [Ole Martin Martinsen] *
1 [Rolf Yngve Uggen] *
1 [Thomas Seltzer] *
1 [Tomas Dahl] *
1 [Vegard Heskestad] *
1 [HÃ¥kon Marius Pettersen] *
1 [Pål Bøttger Kjærnes] *
1 [PÃ¥l Erik Carlin] *
1 [Rune Grønn] *
1 [BigBang] *
1 [Nikolai Hængsle] *
1 [Tom Lund Band] *
1 [Lady Friend] *
1 [KÃ¥re & The Cavemen]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
23
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Turbonegro 54.09%Thomas Seltzer 13.52%Nikolai Hængsle 13.52%Knut Schreiner 8.18%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)