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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 2 [One Night in Miami...] *
36 [David Oyelowo] *
16 [Demi Singleton] *
25 [Rob Morgan] *
324 [Lawmen: Bass Reeves] *
25 [Dennis Quaid] *
4 [Forrest Goodluck] *
1 [Bill Dawes] *
36 [Donald Sutherland] *
4 [Grantham Coleman] *
9 [Heather Kafka] *
4 [Justin Hurtt-Dunkley] *
1 [Lonnie Chavis] *
1 [Riley Looc] *
1 [Lauren E. Banks] *
1 [Sanaya Goodson] *
1 [Saveah Goodson] *
1 [Sekou Goodson] *
4 [Barry Pepper] *
1 [Steal Away]
)
= 174.14T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [One Night in Miami...] *
1 [David Oyelowo] *
1 [Demi Singleton] *
1 [Rob Morgan] *
1 [Lawmen: Bass Reeves] *
1 [Dennis Quaid] *
1 [Forrest Goodluck] *
1 [Bill Dawes] *
1 [Donald Sutherland] *
1 [Grantham Coleman] *
1 [Heather Kafka] *
1 [Justin Hurtt-Dunkley] *
1 [Lonnie Chavis] *
1 [Riley Looc] *
1 [Lauren E. Banks] *
1 [Sanaya Goodson] *
1 [Saveah Goodson] *
1 [Sekou Goodson] *
1 [Barry Pepper] *
1 [Steal Away]
)
= 2
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Lawmen: Bass Reeves 64.03%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)