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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 42 [Sylvester Stallone] *
9 [Ralph Waite] *
289 [Cliffhanger] *
25 [Caroline Goodall] *
1 [Craig Fairbrass] *
16 [Denis Forest] *
49 [Don S. Davis] *
4 [Gregory Scott Cummins] *
9 [Janine Turner] *
49 [Michael Rooker] *
1 [Michelle Joyner] *
25 [Paul Winfield] *
49 [Rex Linn] *
1 [Trey Brownell] *
16 [Vyto Ruginis] *
36 [Zach Grenier] *
9 [Jeff McCarthy] *
9 [Drugstore Cowboy] *
1 [Beautiful Girls] *
25 [Matt Dillon] *
25 [Kelly Lynch]
)
= 1.21 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Sylvester Stallone] *
1 [Ralph Waite] *
1 [Cliffhanger] *
1 [Caroline Goodall] *
1 [Craig Fairbrass] *
1 [Denis Forest] *
1 [Don S. Davis] *
1 [Gregory Scott Cummins] *
1 [Janine Turner] *
1 [Michael Rooker] *
1 [Michelle Joyner] *
1 [Paul Winfield] *
1 [Rex Linn] *
1 [Trey Brownell] *
1 [Vyto Ruginis] *
1 [Zach Grenier] *
1 [Jeff McCarthy] *
1 [Drugstore Cowboy] *
1 [Beautiful Girls] *
1 [Matt Dillon] *
1 [Kelly Lynch]
)
= 1.17
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
21
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.29%
(1.21 × 1024 overall)
Dominant nodes (excluded from chart)Cliffhanger 41.34%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)