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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 12 [David Dwyer] *
72 [Rachel McAdams] *
49 [Ryan Gosling] *
324 [The Notebook] *
1 [Andrew Schaff] *
1 [Anthony-Michael Q. Thomas] *
4 [Ed Grady] *
16 [Gena Rowlands] *
1 [Geoffrey Knight] *
25 [Heather Wahlquist] *
25 [James Garner] *
1 [Jennifer Echols] *
1 [Jonathan Parks Jordan] *
9 [Kevin Connolly] *
1 [Matt Shelly] *
1 [Michael D. Fuller] *
1 [Renée Amber] *
16 [Starletta DuPois] *
1 [Tim Ivey] *
4 [Dear John]
)
= 1.26 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [David Dwyer] *
1.13 [Rachel McAdams] *
1 [Ryan Gosling] *
1 [The Notebook] *
1 [Andrew Schaff] *
1 [Anthony-Michael Q. Thomas] *
1 [Ed Grady] *
1 [Gena Rowlands] *
1 [Geoffrey Knight] *
1 [Heather Wahlquist] *
1 [James Garner] *
1 [Jennifer Echols] *
1 [Jonathan Parks Jordan] *
1 [Kevin Connolly] *
1 [Matt Shelly] *
1 [Michael D. Fuller] *
1 [Renée Amber] *
1 [Starletta DuPois] *
1 [Tim Ivey] *
1 [Dear John]
)
= 1.5
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.70%
(1.26 × 1015 overall)
Dominant nodes (excluded from chart)The Notebook 56.94%Rachel McAdams 12.65%Ryan Gosling 8.61%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)