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 *
( 9 [John Finn] *
64 [Leonardo DiCaprio] *
225 [Elizabeth Banks] *
121 [Tom Hanks] *
100 [Amy Adams] *
9 [Alex Hyde-White] *
4 [Chris Ellis] *
16 [Margaret Travolta] *
25 [Jennifer Garner] *
4 [Nancy Lenehan] *
81 [Christopher Walken] *
361 [Catch Me If You Can] *
9 [Jan Munroe] *
1 [Candice Azzara] *
36 [Ellen Pompeo] *
16 [Frank John Hughes] *
4 [James Brolin] *
4 [Steve Eastin] *
1 [Nathalie Baye]
)
= 2.19 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [John Finn] *
1 [Leonardo DiCaprio] *
1 [Elizabeth Banks] *
1 [Tom Hanks] *
1 [Amy Adams] *
1 [Alex Hyde-White] *
1 [Chris Ellis] *
1 [Margaret Travolta] *
1 [Jennifer Garner] *
1 [Nancy Lenehan] *
1 [Christopher Walken] *
1 [Catch Me If You Can] *
1 [Jan Munroe] *
1 [Candice Azzara] *
1 [Ellen Pompeo] *
1 [Frank John Hughes] *
1 [James Brolin] *
1 [Steve Eastin] *
1 [Nathalie Baye]
)
= 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)
0.09%
(2.19 × 1023 overall)
Dominant nodes (excluded from chart)Catch Me If You Can 33.09%Elizabeth Banks 20.62%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)