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, 14) = 14
$outbound = max(1, 13) = 13
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 14 * 13 = 182
Base_Influence (IV) = $inbound / $outbound = 14 / 13 = 1.0769
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 182 *
( 1 [Benjamin Davis Wilson] *
1 [Firehouse Recording Studios] *
1 [Flag of Pasadena, California] *
1 [Ambassador College] *
1 [Cityscapes of Pasadena, California] *
1 [East Pasadena, California] *
1 [Einstein Papers Project] *
1 [Idealab] *
1 [Kidspace Children's Museum] *
1 [KPCC] *
1 [Night in Pasadena, California] *
1 [Sunsets of Pasadena, California] *
1 [Tibet Nepal House] *
1 [Tichnor Brothers postcards of Pasadena, California] *
4 [Firehouse Recording Studios, Pasadena, California]
)
= 728
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.0769 *
( 1 [Benjamin Davis Wilson] *
1 [Firehouse Recording Studios] *
1 [Flag of Pasadena, California] *
1 [Ambassador College] *
1 [Cityscapes of Pasadena, California] *
1 [East Pasadena, California] *
1 [Einstein Papers Project] *
1 [Idealab] *
1 [Kidspace Children's Museum] *
1 [KPCC] *
1 [Night in Pasadena, California] *
1 [Sunsets of Pasadena, California] *
1 [Tibet Nepal House] *
1 [Tichnor Brothers postcards of Pasadena, California] *
1 [Firehouse Recording Studios, Pasadena, California]
)
= 1.08