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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 4 [Julie Christie] *
36 [Kate Winslet] *
121 [Johnny Depp] *
25 [Angus Barnett] *
25 [Mackenzie Crook] *
25 [Kelly Macdonald] *
81 [Toby Jones] *
36 [Dustin Hoffman] *
16 [Radha Mitchell] *
361 [Finding Neverland] *
4 [Freddie Highmore] *
9 [Nellie Bellflower] *
4 [Kate Maberly] *
1 [Eileen Essell] *
1 [Ian Hart] *
1 [Jimmy Gardner] *
1 [Joe Prospero] *
1 [Nick Roud] *
1 [Oliver Fox]
)
= 6.60 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Julie Christie] *
1 [Kate Winslet] *
1 [Johnny Depp] *
1 [Angus Barnett] *
1 [Mackenzie Crook] *
1 [Kelly Macdonald] *
1 [Toby Jones] *
1 [Dustin Hoffman] *
1 [Radha Mitchell] *
1 [Finding Neverland] *
1 [Freddie Highmore] *
1 [Nellie Bellflower] *
1 [Kate Maberly] *
1 [Eileen Essell] *
1 [Ian Hart] *
1 [Jimmy Gardner] *
1 [Joe Prospero] *
1 [Nick Roud] *
1 [Oliver Fox]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.13%
(6.60 × 1017 overall)
Dominant nodes (excluded from chart)Finding Neverland 47.88%Johnny Depp 16.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)