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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 400 [Suicide Squad] *
36 [Jared Leto] *
25 [David Harbour] *
49 [Margot Robbie] *
25 [Christopher Allen Nelson] *
25 [Common] *
4 [Jaime FitzSimons] *
9 [Jim Parrack] *
16 [Bambadjan Bamba] *
9 [Billy Otis] *
1 [Derek Perks] *
36 [Ike Barinholtz] *
16 [James McGowan] *
4 [Robert B. Kennedy] *
16 [Robin Atkin Downes] *
1 [Shailyn Pierre-Dixon] *
25 [Ted Whittall] *
25 [Scott Eastwood] *
16 [Aidan Devine] *
16 [Jai Courtney]
)
= 3.37 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Suicide Squad] *
1 [Jared Leto] *
1 [David Harbour] *
1 [Margot Robbie] *
1 [Christopher Allen Nelson] *
1 [Common] *
1 [Jaime FitzSimons] *
1 [Jim Parrack] *
1 [Bambadjan Bamba] *
1 [Billy Otis] *
1 [Derek Perks] *
1 [Ike Barinholtz] *
1 [James McGowan] *
1 [Robert B. Kennedy] *
1 [Robin Atkin Downes] *
1 [Shailyn Pierre-Dixon] *
1 [Ted Whittall] *
1 [Scott Eastwood] *
1 [Aidan Devine] *
1 [Jai Courtney]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.13%
(3.37 × 1023 overall)
Dominant nodes (excluded from chart)Suicide Squad 52.98%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)