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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 12 [Serge Christiaenssens] *
25 [Richard Gere] *
256 [The Jackal] *
121 [J.K. Simmons] *
196 [Bruce Willis] *
4 [Diane Venora] *
4 [John Cunningham] *
9 [Ravil Isyanov] *
16 [Richard Lineback] *
9 [Sidney Poitier] *
25 [Sophie Okonedo] *
4 [Stephen Spinella] *
1 [Steve Bassett] *
4 [Tess Harper] *
4 [Walt MacPherson] *
25 [Yuri Stepanov] *
1 [Isabelle Eberhardt] *
4 [Lifeforce] *
16 [Frank Finlay]
)
= 8.70 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Serge Christiaenssens] *
1 [Richard Gere] *
1 [The Jackal] *
1 [J.K. Simmons] *
1 [Bruce Willis] *
1 [Diane Venora] *
1 [John Cunningham] *
1 [Ravil Isyanov] *
1 [Richard Lineback] *
1 [Sidney Poitier] *
1 [Sophie Okonedo] *
1 [Stephen Spinella] *
1 [Steve Bassett] *
1 [Tess Harper] *
1 [Walt MacPherson] *
1 [Yuri Stepanov] *
1 [Isabelle Eberhardt] *
1 [Lifeforce] *
1 [Frank Finlay]
)
= 1.33
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
19
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.21%
(8.70 × 1020 overall)
Dominant nodes (excluded from chart)The Jackal 34.36%Bruce Willis 26.31%J.K. Simmons 16.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)