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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 16 [Rolf Martin Snustad] *
100 [Hopalong Knut] *
4 [Anne Brit Petersen] *
4 [Ãrjan Berre] *
4 [Einar Mellingseter] *
4 [Gjermund Walstad] *
4 [Kriss Stemland] *
4 [Kristin Jensen] *
4 [Rolf Johan Bye] *
4 [Asle Ã
rthun Gauteplass] *
169 [Samvirkelaget] *
1 [Aslak Borgersrud] *
1 [Don Martin] *
1 [Elling]
)
= 70.88B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Rolf Martin Snustad] *
1 [Hopalong Knut] *
1 [Anne Brit Petersen] *
1 [Ãrjan Berre] *
1 [Einar Mellingseter] *
1 [Gjermund Walstad] *
1 [Kriss Stemland] *
1 [Kristin Jensen] *
1 [Rolf Johan Bye] *
1 [Asle Ã
rthun Gauteplass] *
1 [Samvirkelaget] *
1 [Aslak Borgersrud] *
1 [Don Martin] *
1 [Elling]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
14
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Samvirkelaget 52.16%Hopalong Knut 30.86%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)