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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Ben Masters] *
25 [Travis Schuldt] *
441 [Passions] *
16 [Juliet Mills] *
4 [Robin Strasser] *
16 [Lena Cardwell] *
1 [Andrea Evans] *
4 [Brook Kerr] *
1 [Charles Divins] *
1 [Dana Sparks] *
1 [Danica Stewart] *
1 [Emily Harper] *
9 [Eric Martsolf] *
4 [Eva Tamargo] *
9 [Galen Gering] *
9 [Heidi Mueller] *
1 [Justin Hartley] *
1 [Kim Johnston Ulrich] *
1 [Lindsay Hartley] *
1 [Liza Huber] *
1 [McKenzie Westmore]
)
= 1.58T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Ben Masters] *
1 [Travis Schuldt] *
1 [Passions] *
1 [Juliet Mills] *
1 [Robin Strasser] *
1 [Lena Cardwell] *
1 [Andrea Evans] *
1 [Brook Kerr] *
1 [Charles Divins] *
1 [Dana Sparks] *
1 [Danica Stewart] *
1 [Emily Harper] *
1 [Eric Martsolf] *
1 [Eva Tamargo] *
1 [Galen Gering] *
1 [Heidi Mueller] *
1 [Justin Hartley] *
1 [Kim Johnston Ulrich] *
1 [Lindsay Hartley] *
1 [Liza Huber] *
1 [McKenzie Westmore]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
21
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Passions 78.75%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)