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 *
( 12 [Lisa Blount] *
25 [Richard Gere] *
289 [An Officer and a Gentleman] *
25 [Debra Winger] *
9 [David Caruso] *
4 [Lisa Eilbacher] *
4 [Harold Sylvester] *
4 [Louis Gossett Jr.] *
4 [Robert Loggia] *
1 [Buck Welcher] *
1 [Dennis Rucker] *
9 [Grace Zabriskie] *
1 [Jane Wilbur] *
1 [Mara Scott-Wood] *
9 [Tony Plana] *
1 [Tommy Petersen] *
1 [Victor French]
)
= 404.51B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Lisa Blount] *
1 [Richard Gere] *
1 [An Officer and a Gentleman] *
1 [Debra Winger] *
1 [David Caruso] *
1 [Lisa Eilbacher] *
1 [Harold Sylvester] *
1 [Louis Gossett Jr.] *
1 [Robert Loggia] *
1 [Buck Welcher] *
1 [Dennis Rucker] *
1 [Grace Zabriskie] *
1 [Jane Wilbur] *
1 [Mara Scott-Wood] *
1 [Tony Plana] *
1 [Tommy Petersen] *
1 [Victor French]
)
= 1.33
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)
Dominant nodes (excluded from chart)An Officer and a Gentleman 72.07%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)