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 *
( 49 [Ryan Gosling] *
324 [The Notebook] *
1 [Andrew Schaff] *
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] *
4 [Leslea Fisher] *
1 [Matt Shelly] *
1 [Michael D. Fuller] *
64 [Rachel McAdams] *
1 [Renée Amber] *
16 [Starletta DuPois] *
1 [Tim Ivey]
)
= 23.41T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Ryan Gosling] *
1 [The Notebook] *
1 [Andrew Schaff] *
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 [Leslea Fisher] *
1 [Matt Shelly] *
1 [Michael D. Fuller] *
1 [Rachel McAdams] *
1 [Renée Amber] *
1 [Starletta DuPois] *
1 [Tim Ivey]
)
= 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)
Dominant nodes (excluded from chart)The Notebook 59.45%Rachel McAdams 11.74%Ryan Gosling 8.99%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)