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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 40 [The Big T] *
54 [Sacramento] *
30 [Old Sacramento State Historic Park] *
4 [Sacramento skylines] *
4 [Geography of Sacramento, California] *
4 [Postcards of Sacramento, California] *
1 [Big Four House] *
225 [California State Railroad Museum] *
1 [Eagle Theatre] *
1 [Lady Adams Building] *
1 [Ebner's Hotel]
)
= 3.73B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2.5 [The Big T] *
1.5 [Sacramento] *
1.2 [Old Sacramento State Historic Park] *
1 [Sacramento skylines] *
1 [Geography of Sacramento, California] *
1 [Postcards of Sacramento, California] *
1 [Big Four House] *
1 [California State Railroad Museum] *
1 [Eagle Theatre] *
1 [Lady Adams Building] *
1 [Ebner's Hotel]
)
= 4.5
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
11
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)California State Railroad Museum 60.98%Sacramento 14.63%The Big T 10.84%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
No other posts link to this one yet.
