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 *
( 16 [Jessica Alba] *
121 [Owen Wilson] *
16 [Kat Kramer] *
256 [Robert De Niro] *
81 [Harvey Keitel] *
16 [Tom McCarthy] *
16 [Deepak Chopra] *
324 [Little Fockers] *
64 [Yul Vazquez] *
100 [Laura Dern] *
36 [Dustin Hoffman] *
9 [Blythe Danner] *
9 [Ben Stiller] *
16 [Colin Baiocchi] *
1 [Daisy Tahan] *
9 [Jack Axelrod] *
1 [Olga Fonda] *
4 [Teri Polo]
)
= 5.73 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jessica Alba] *
1 [Owen Wilson] *
1 [Kat Kramer] *
1 [Robert De Niro] *
1 [Harvey Keitel] *
1 [Tom McCarthy] *
1 [Deepak Chopra] *
1 [Little Fockers] *
1 [Yul Vazquez] *
1 [Laura Dern] *
1 [Dustin Hoffman] *
1 [Blythe Danner] *
1 [Ben Stiller] *
1 [Colin Baiocchi] *
1 [Daisy Tahan] *
1 [Jack Axelrod] *
1 [Olga Fonda] *
1 [Teri Polo]
)
= 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)
0.09%
(5.73 × 1023 overall)
Dominant nodes (excluded from chart)Little Fockers 29.56%Robert De Niro 23.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)