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 *
( 6 [Alfredo Narciso] *
36 [Kyra Sedgwick] *
16 [Rachel Blanchard] *
324 [The Summer I Turned Pretty] *
4 [Christopher Briney] *
9 [Colin Ferguson] *
1 [David Iacono] *
25 [Elsie Fisher] *
1 [Gavin Casalegno] *
1 [Jocelyn Shelfo] *
1 [Kelsey Rose Healey] *
1 [Lilah Pate] *
1 [Lola Tung] *
1 [Minnie Mills] *
1 [Rain Spencer] *
1 [Sean Kaufman] *
1 [Summer Madison] *
4 [Tom Everett Scott]
)
= 4.03B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Alfredo Narciso] *
1 [Kyra Sedgwick] *
1 [Rachel Blanchard] *
1 [The Summer I Turned Pretty] *
1 [Christopher Briney] *
1 [Colin Ferguson] *
1 [David Iacono] *
1 [Elsie Fisher] *
1 [Gavin Casalegno] *
1 [Jocelyn Shelfo] *
1 [Kelsey Rose Healey] *
1 [Lilah Pate] *
1 [Lola Tung] *
1 [Minnie Mills] *
1 [Rain Spencer] *
1 [Sean Kaufman] *
1 [Summer Madison] *
1 [Tom Everett Scott]
)
= 1.5
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 Summer I Turned Pretty 74.48%Kyra Sedgwick 8.28%Elsie Fisher 5.75%Rachel Blanchard 3.68%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)