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, 13) = 13
$outbound = max(1, 12) = 12
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 12 = 156
Base_Influence (IV) = $inbound / $outbound = 13 / 12 = 1.0833
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 156 *
( 1 [Central Contra Costa Sanitary District] *
1 [Covered California Call Center Site Visit] *
1 [Firefighting in Contra Costa County, California] *
1 [Geology of Contra Costa County, California] *
1 [Los Vaqueros Reservoir] *
1 [Parks in Contra Costa County, California] *
1 [Photographs of flags of the United States in Contra Costa County, California] *
1 [Postcards of Contra Costa County, California] *
4 [Signs in Contra Costa County, California] *
1 [West County Detention Center] *
1 [Camino Tassajara, California] *
1 [Economy of Contra Costa County, California] *
1 [Signs in Contra Costa County]
)
= 624
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.0833 *
( 1 [Central Contra Costa Sanitary District] *
1 [Covered California Call Center Site Visit] *
1 [Firefighting in Contra Costa County, California] *
1 [Geology of Contra Costa County, California] *
1 [Los Vaqueros Reservoir] *
1 [Parks in Contra Costa County, California] *
1 [Photographs of flags of the United States in Contra Costa County, California] *
1 [Postcards of Contra Costa County, California] *
1 [Signs in Contra Costa County, California] *
1 [West County Detention Center] *
1 [Camino Tassajara, California] *
1 [Economy of Contra Costa County, California] *
1 [Signs in Contra Costa County]
)
= 1.08
