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, 7) = 7
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 36 [Glenn County] *
4 [Black Butte Reservior] *
25 [Red Bluff] *
1 [Sanborn Fire Insurance Map from Red Bluff] *
1 [Little Hot Springs Valley] *
1 [Agriculture in Tehama County, California] *
1 [August Complex fire] *
1 [Red Bluff Diversion Dam] *
1 [Tehama Railroad Bridge] *
9 [Sanborn Fire Insurance Map from Red Bluff, Tehama County, California]
)
= 1.59M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Glenn County] *
1 [Black Butte Reservior] *
1 [Red Bluff] *
1 [Sanborn Fire Insurance Map from Red Bluff] *
1 [Little Hot Springs Valley] *
1 [Agriculture in Tehama County, California] *
1 [August Complex fire] *
1 [Red Bluff Diversion Dam] *
1 [Tehama Railroad Bridge] *
1 [Sanborn Fire Insurance Map from Red Bluff, Tehama County, California]
)
= 1
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
10
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Glenn County 27.91%Red Bluff 19.38%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)