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 *
( 6 [Judy Parfitt] *
20 [Melanie Lynskey] *
323 [Peter Gunn] *
16 [Walter Sparrow] *
36 [Drew Barrymore] *
324 [Ever After: A Cinderella Story] *
25 [Anjelica Huston] *
1 [Matyelok Gibbs] *
25 [Anna Maguire] *
25 [Jeanne Moreau] *
4 [Joerg Stadler] *
1 [Kate Lansbury] *
1 [Lee Ingleby] *
4 [Megan Dodds] *
4 [Patrick Godfrey] *
4 [Timothy West] *
9 [Richard O'Brien] *
1 [Jeroen Krabbé]
)
= 2.60 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Judy Parfitt] *
1.25 [Melanie Lynskey] *
1.12 [Peter Gunn] *
1 [Walter Sparrow] *
1 [Drew Barrymore] *
1 [Ever After: A Cinderella Story] *
1 [Anjelica Huston] *
1 [Matyelok Gibbs] *
1 [Anna Maguire] *
1 [Jeanne Moreau] *
1 [Joerg Stadler] *
1 [Kate Lansbury] *
1 [Lee Ingleby] *
1 [Megan Dodds] *
1 [Patrick Godfrey] *
1 [Timothy West] *
1 [Richard O'Brien] *
1 [Jeroen Krabbé]
)
= 2.1
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)
0.12%
(2.60 × 1017 overall)
Dominant nodes (excluded from chart)Ever After: A Cinderella Story 39.04%Peter Gunn 38.92%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)