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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 4 [Jun 16 1987 P.U.L.P. (Hope) – JJ Smyths] *
4 [Jun 9 1987 P.U.L.P. (Hope) – JJ Smyths] *
64 [P.U.L.P.] *
4 [Russell Senior] *
1 [Nick Banks] *
1 [Mark Webber] *
81 [Jarvis Cocker] *
1 [Candida Doyle] *
4 [The Chocolate Layers] *
4 [Two Desperate People] *
36 [Wyrd Sisters] *
1 [Cavemen (2)] *
64 [Jonny Greenwood] *
25 [Philip Selway] *
25 [Phil Selway] *
16 [Steven Claydon]
)
= 3.06 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jun 16 1987 P.U.L.P. (Hope) – JJ Smyths] *
1 [Jun 9 1987 P.U.L.P. (Hope) – JJ Smyths] *
1 [P.U.L.P.] *
1 [Russell Senior] *
1 [Nick Banks] *
1 [Mark Webber] *
1 [Jarvis Cocker] *
1 [Candida Doyle] *
1 [The Chocolate Layers] *
1 [Two Desperate People] *
1 [Wyrd Sisters] *
1 [Cavemen (2)] *
1 [Jonny Greenwood] *
1 [Philip Selway] *
1 [Phil Selway] *
1 [Steven Claydon]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
16
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
6.94%
(3.06 × 1015 overall)
Dominant nodes (excluded from chart)Jarvis Cocker 22.50%P.U.L.P. 17.78%Jonny Greenwood 17.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
