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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 196 [Michael Caine] *
64 [Benjamin Bratt] *
289 [Miss Congeniality] *
16 [Asia De Marcos] *
25 [Candice Bergen] *
25 [Christopher Shea] *
9 [Deirdre Quinn] *
64 [Ernie Hudson] *
9 [Gabriel Folse] *
1 [Heather Burns] *
16 [John DiResta] *
4 [Mary Ashleigh Green] *
16 [Melissa De Sousa] *
36 [Sandra Bullock] *
16 [Steve Monroe] *
4 [Wendy Raquel Robinson] *
16 [Jennifer Gareis]
)
= 7.09 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Michael Caine] *
1 [Benjamin Bratt] *
1 [Miss Congeniality] *
1 [Asia De Marcos] *
1 [Candice Bergen] *
1 [Christopher Shea] *
1 [Deirdre Quinn] *
1 [Ernie Hudson] *
1 [Gabriel Folse] *
1 [Heather Burns] *
1 [John DiResta] *
1 [Mary Ashleigh Green] *
1 [Melissa De Sousa] *
1 [Sandra Bullock] *
1 [Steve Monroe] *
1 [Wendy Raquel Robinson] *
1 [Jennifer Gareis]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.12%
(7.09 × 1021 overall)
Dominant nodes (excluded from chart)Miss Congeniality 35.81%Michael Caine 24.29%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)