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 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 36 [Cosmic Psychos] *
1 [Dean Muller] *
1 [John McKeering] *
1 [Robbie Watts] *
1 [Ross Knight] *
1 [Peter Jones (9)] *
36 [Michael Beach] *
36 [Bobby Cannavale] *
9 [Chris Bauer] *
16 [Joe Lisi] *
25 [Amy Carlson] *
4 [Nia Long] *
9 [Kim Raver] *
9 [Eddie Cibrian] *
25 [Skipp Sudduth] *
16 [Leila Danette] *
289 [Third Watch] *
1 [Bonnie Dennison] *
1 [Coby Bell] *
1 [Jason Wiles] *
1 [Molly Price] *
1 [Saundra McClain] *
1 [Tia Texada]
)
= 2.52 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Cosmic Psychos] *
1 [Dean Muller] *
1 [John McKeering] *
1 [Robbie Watts] *
1 [Ross Knight] *
1 [Peter Jones (9)] *
1 [Michael Beach] *
1 [Bobby Cannavale] *
1 [Chris Bauer] *
1 [Joe Lisi] *
1 [Amy Carlson] *
1 [Nia Long] *
1 [Kim Raver] *
1 [Eddie Cibrian] *
1 [Skipp Sudduth] *
1 [Leila Danette] *
1 [Third Watch] *
1 [Bonnie Dennison] *
1 [Coby Bell] *
1 [Jason Wiles] *
1 [Molly Price] *
1 [Saundra McClain] *
1 [Tia Texada]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
23
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.76%
(2.52 × 1016 overall)
Dominant nodes (excluded from chart)Third Watch 55.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)