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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 9 [Mark Schneider] *
9 [Jeff Conaway] *
16 [Paul Hampton] *
1 [Jason Carter] *
441 [Babylon 5] *
9 [Andrea Thompson] *
9 [Andreas Katsulas] *
16 [Ardwight Chamberlain] *
4 [Bill Mumy] *
25 [Bruce Boxleitner] *
16 [Claudia Christian] *
16 [Jerry Doyle] *
9 [Josh Coxx] *
9 [Julie Caitlin Brown] *
16 [Mira Furlan] *
4 [Patricia Tallman] *
25 [Peter Jurasik] *
4 [Richard Biggs] *
25 [Robert Rusler] *
36 [Stephen Furst] *
25 [Tim Choate]
)
= 2.21 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Mark Schneider] *
1 [Jeff Conaway] *
1 [Paul Hampton] *
1 [Jason Carter] *
1 [Babylon 5] *
1 [Andrea Thompson] *
1 [Andreas Katsulas] *
1 [Ardwight Chamberlain] *
1 [Bill Mumy] *
1 [Bruce Boxleitner] *
1 [Claudia Christian] *
1 [Jerry Doyle] *
1 [Josh Coxx] *
1 [Julie Caitlin Brown] *
1 [Mira Furlan] *
1 [Patricia Tallman] *
1 [Peter Jurasik] *
1 [Richard Biggs] *
1 [Robert Rusler] *
1 [Stephen Furst] *
1 [Tim Choate]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
21
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.14%
(2.21 × 1023 overall)
Dominant nodes (excluded from chart)Babylon 5 60.83%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)