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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 64 [Drop Dead] *
4 [Nov 26 1998 Drop Dead] *
4 [Nov 5 1996 Drop Dead] *
1 [Lee Mastrobuono] *
1 [Devon Cahill] *
256 [Brian Mastrobuono] *
1 [Bob Otis] *
1 [Ben Barnett] *
144 [Dumptruck] *
1 [Kirk Swan] *
1 [Seth Tiven] *
9 [Steve Michener] *
1 [Tom Shad] *
1 [Alan Durham] *
1 [Brian Dunton] *
1 [George Duron] *
1 [Jacob Schulze (2)] *
1 [Jeff Farris] *
1 [Kevin Salem] *
1 [Shawn Devlin]
)
= 1.36B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Drop Dead] *
1 [Nov 26 1998 Drop Dead] *
1 [Nov 5 1996 Drop Dead] *
1 [Lee Mastrobuono] *
1 [Devon Cahill] *
1 [Brian Mastrobuono] *
1 [Bob Otis] *
1 [Ben Barnett] *
1 [Dumptruck] *
1 [Kirk Swan] *
1 [Seth Tiven] *
1 [Steve Michener] *
1 [Tom Shad] *
1 [Alan Durham] *
1 [Brian Dunton] *
1 [George Duron] *
1 [Jacob Schulze (2)] *
1 [Jeff Farris] *
1 [Kevin Salem] *
1 [Shawn Devlin]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Brian Mastrobuono 51.30%Dumptruck 28.86%Drop Dead 12.83%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)