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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 84 [Epstein’s High-Society Ties: Clare Hazell and Rachel Chandler’s Guinness Connections] *
16 [J. P. Morgan] *
9 [Richard Kahn] *
1 [Mark Epstein] *
9 [Leslie Wexner] *
1 [Darren Indyke] *
1 [Dalton School] *
4 [Little Saint James, U.S. Virgin Islands] *
4 [Mick Bailey] *
182 [jeffrey epstein] *
42 [clare hazell] *
42 [rachel chandler] *
12 [ghislaine maxwell] *
12 [Mariel A. Colon Miro]
)
= 80.53T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2.33 [Epstein’s High-Society Ties: Clare Hazell and Rachel Chandler’s Guinness Connections] *
1 [J. P. Morgan] *
1 [Richard Kahn] *
1 [Mark Epstein] *
1 [Leslie Wexner] *
1 [Darren Indyke] *
1 [Dalton School] *
1 [Little Saint James, U.S. Virgin Islands] *
1 [Mick Bailey] *
0.9286 [jeffrey epstein] *
0.8571 [clare hazell] *
0.8571 [rachel chandler] *
0.75 [ghislaine maxwell] *
0.75 [Mariel A. Colon Miro]
)
= 0.8953
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
14
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)jeffrey epstein 43.33%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)