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, 13) = 13
$outbound = max(1, 13) = 13
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 13 = 169
Base_Influence (IV) = $inbound / $outbound = 13 / 13 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 169 *
( 4 [Dan Rincon] *
4 [Brigid Dawson] *
4 [Jigmae Baer] *
9 [Lars Finberg (2)] *
4 [Mike Shoun] *
4 [Nick Murray (8)] *
4 [Patrick Mullins] *
4 [Paul Quattrone] *
4 [Petey Dammit] *
4 [Ryan Moutinho] *
9 [Tim Hellman] *
4 [Tomas Dolas] *
1 [The Oh Sees – Button Factory May 12 + 13] *
144 [Thee Oh Sees] *
9 [A Frames] *
121 [Sic Alps]
)
= 2.25 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dan Rincon] *
1 [Brigid Dawson] *
1 [Jigmae Baer] *
1 [Lars Finberg (2)] *
1 [Mike Shoun] *
1 [Nick Murray (8)] *
1 [Patrick Mullins] *
1 [Paul Quattrone] *
1 [Petey Dammit] *
1 [Ryan Moutinho] *
1 [Tim Hellman] *
1 [Tomas Dolas] *
1 [The Oh Sees – Button Factory May 12 + 13] *
1 [Thee Oh Sees] *
1 [A Frames] *
1 [Sic Alps]
)
= 1
Outbound
13
Tags on post
Inbound
13
Posts tagging this
Connections
16
Total nodes
Base Node Strength
169
Base Node Influence
1
Strength Share (vs Direct Neighbours)
33.67%
(2.25 × 1015 overall)
Dominant nodes (excluded from chart)Thee Oh Sees 28.69%Sic Alps 24.10%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
