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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 361 [Don Jon] *
4 [Rob Brown] *
100 [Julianne Moore] *
36 [Brie Larson] *
196 [Scarlett Johansson] *
36 [Joseph Gordon-Levitt] *
25 [Glenne Headly] *
9 [Antoinette Kalaj] *
1 [Arielle Reitsma] *
1 [Arin Babaian] *
1 [Italia Ricci] *
1 [Jeremy Luke] *
1 [Lindsey Broad] *
1 [Loanne Bishop] *
1 [Paul Ben-Victor] *
1 [Rizwan Manji] *
1 [Sarah Dumont] *
1 [Sloane Avery] *
1 [Tony Danza]
)
= 8.25T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Don Jon] *
1 [Rob Brown] *
1 [Julianne Moore] *
1 [Brie Larson] *
1 [Scarlett Johansson] *
1 [Joseph Gordon-Levitt] *
1 [Glenne Headly] *
1 [Antoinette Kalaj] *
1 [Arielle Reitsma] *
1 [Arin Babaian] *
1 [Italia Ricci] *
1 [Jeremy Luke] *
1 [Lindsey Broad] *
1 [Loanne Bishop] *
1 [Paul Ben-Victor] *
1 [Rizwan Manji] *
1 [Sarah Dumont] *
1 [Sloane Avery] *
1 [Tony Danza]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Don Jon 46.34%Scarlett Johansson 25.16%Julianne Moore 12.84%Brie Larson 4.62%Joseph Gordon-Levitt 4.62%Glenne Headly 3.21%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)