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 *
( 15 [Richard Lewis] *
342 [Robin Hood: Men in Tights] *
16 [Mel Brooks] *
1 [Dom DeLuise] *
9 [Tracey Ullman] *
36 [Amy Yasbeck] *
49 [Patrick Stewart] *
16 [Roger Rees] *
16 [Cary Elwes] *
9 [Dick Van Patten] *
16 [Eric Allan Kramer] *
36 [Mark Blankfield] *
9 [Matthew Porretta] *
16 [Megan Cavanagh] *
9 [Robert Ridgely] *
1 [Steve Tancora] *
9 [Ronny Graham] *
16 [Laurie Main]
)
= 3.23 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.67 [Richard Lewis] *
1.06 [Robin Hood: Men in Tights] *
1 [Mel Brooks] *
1 [Dom DeLuise] *
1 [Tracey Ullman] *
1 [Amy Yasbeck] *
1 [Patrick Stewart] *
1 [Roger Rees] *
1 [Cary Elwes] *
1 [Dick Van Patten] *
1 [Eric Allan Kramer] *
1 [Mark Blankfield] *
1 [Matthew Porretta] *
1 [Megan Cavanagh] *
1 [Robert Ridgely] *
1 [Steve Tancora] *
1 [Ronny Graham] *
1 [Laurie Main]
)
= 1.76
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)
0.16%
(3.23 × 1020 overall)
Dominant nodes (excluded from chart)Robin Hood: Men in Tights 54.98%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)