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 *
( 64 [Dave Soldier] *
361 [Manhattan Chamber Orchestra] *
1 [Allan Perry (2)] *
1 [Amy Platt] *
1 [Anca Dimenescu] *
1 [Andrea Correll] *
1 [Angela Cocozzella] *
1 [Anita Miller] *
1 [April Johnson (3)] *
4 [Ashley Horne] *
1 [Audrey Axinn] *
1 [Benjamin Harrington] *
1 [Brian Benson (4)] *
1 [Carolyn Clark (2)] *
1 [Cindy Chen] *
1 [Daniel Panner] *
4 [David Cossin] *
1 [David Dennison (2)] *
1 [David Gresham (2)]
)
= 369.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dave Soldier] *
1 [Manhattan Chamber Orchestra] *
1 [Allan Perry (2)] *
1 [Amy Platt] *
1 [Anca Dimenescu] *
1 [Andrea Correll] *
1 [Angela Cocozzella] *
1 [Anita Miller] *
1 [April Johnson (3)] *
1 [Ashley Horne] *
1 [Audrey Axinn] *
1 [Benjamin Harrington] *
1 [Brian Benson (4)] *
1 [Carolyn Clark (2)] *
1 [Cindy Chen] *
1 [Daniel Panner] *
1 [David Cossin] *
1 [David Dennison (2)] *
1 [David Gresham (2)]
)
= 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)Manhattan Chamber Orchestra 80.40%Dave Soldier 14.25%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)