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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 90 [Ed Harris] *
324 [The Abyss] *
9 [Chris Elliott] *
25 [Ken Jenkins] *
36 [Leo Burmester] *
16 [Mary Elizabeth Mastrantonio] *
16 [J.C. Quinn] *
4 [Adam Nelson] *
9 [Michael Biehn] *
9 [Kimberly Scott] *
4 [Christopher Murphy] *
1 [Dick Warlock] *
1 [George Robert Klek] *
1 [Jimmie Ray Weeks] *
1 [John Bedford Lloyd] *
1 [J. Kenneth Campbell] *
1 [Peter Ratray] *
1 [Todd Graff]
)
= 78.36T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.11 [Ed Harris] *
1 [The Abyss] *
1 [Chris Elliott] *
1 [Ken Jenkins] *
1 [Leo Burmester] *
1 [Mary Elizabeth Mastrantonio] *
1 [J.C. Quinn] *
1 [Adam Nelson] *
1 [Michael Biehn] *
1 [Kimberly Scott] *
1 [Christopher Murphy] *
1 [Dick Warlock] *
1 [George Robert Klek] *
1 [Jimmie Ray Weeks] *
1 [John Bedford Lloyd] *
1 [J. Kenneth Campbell] *
1 [Peter Ratray] *
1 [Todd Graff]
)
= 1.11
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Abyss 58.91%Ed Harris 16.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)