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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Geraldine Somerville] *
20 [Eileen Atkins] *
4 [Stephen Fry] *
16 [Kristin Scott Thomas] *
25 [Kelly Macdonald] *
36 [Charles Dance] *
16 [Bob Balaban] *
25 [Maggie Smith] *
25 [Michael Gambon] *
16 [Emily Watson] *
400 [Gosford Park] *
4 [Ryan Phillippe] *
16 [Tom Hollander] *
9 [Camilla Rutherford] *
1 [Claudie Blakley] *
4 [James Wilby] *
16 [Jeremy Northam] *
1 [Laurence Fox] *
1 [Natasha Wightman] *
1 [Ron Webster]
)
= 3.26 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Geraldine Somerville] *
1.25 [Eileen Atkins] *
1 [Stephen Fry] *
1 [Kristin Scott Thomas] *
1 [Kelly Macdonald] *
1 [Charles Dance] *
1 [Bob Balaban] *
1 [Maggie Smith] *
1 [Michael Gambon] *
1 [Emily Watson] *
1 [Gosford Park] *
1 [Ryan Phillippe] *
1 [Tom Hollander] *
1 [Camilla Rutherford] *
1 [Claudie Blakley] *
1 [James Wilby] *
1 [Jeremy Northam] *
1 [Laurence Fox] *
1 [Natasha Wightman] *
1 [Ron Webster]
)
= 1.67
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.15%
(3.26 × 1019 overall)
Dominant nodes (excluded from chart)Gosford Park 61.63%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)