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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 4 [Mark Ryan] *
9 [david bowie] *
169 [Christian Bale] *
25 [Rebecca Hall] *
196 [Scarlett Johansson] *
81 [Andy Serkis] *
196 [Michael Caine] *
9 [Jamie Harris] *
324 [The Prestige] *
49 [Hugh Jackman] *
16 [Christopher Neame] *
9 [Daniel Davis] *
1 [Jim Piddock] *
1 [Monty Stuart] *
25 [Piper Perabo] *
64 [Ricky Jay] *
16 [Roger Rees] *
16 [Ron Perkins] *
1 [I Want to Thank the Academy]
)
= 1.60 x 10^25
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Mark Ryan] *
1 [david bowie] *
1 [Christian Bale] *
1 [Rebecca Hall] *
1 [Scarlett Johansson] *
1 [Andy Serkis] *
1 [Michael Caine] *
1 [Jamie Harris] *
1 [The Prestige] *
1 [Hugh Jackman] *
1 [Christopher Neame] *
1 [Daniel Davis] *
1 [Jim Piddock] *
1 [Monty Stuart] *
1 [Piper Perabo] *
1 [Ricky Jay] *
1 [Roger Rees] *
1 [Ron Perkins] *
1 [I Want to Thank the Academy]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.33%
(1.60 × 1025 overall)
Dominant nodes (excluded from chart)The Prestige 26.67%Scarlett Johansson 16.13%Michael Caine 16.13%Christian Bale 13.91%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)