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 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 2 [Niobrara County] *
2 [Downtown Casper] *
20 [Chauncey Leopardi] *
72 [Cody] *
9 [Downtown Casper, Wyoming] *
1 [Fort Caspar] *
16 [Sanborn Fire Insurance Map from Casper, Natrona County, Wyoming] *
1 [Tate Geological Museum] *
4 [Natrona County] *
4 [Sanborn Fire Insurance Map from Casper] *
4 [Earthship near Wheatland, Wyoming] *
16 [Sanborn Fire Insurance Map from Cody, Park County, Wyoming] *
40 [Wyoming]
)
= 1.66T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Niobrara County] *
2 [Downtown Casper] *
1.25 [Chauncey Leopardi] *
1.13 [Cody] *
1 [Downtown Casper, Wyoming] *
1 [Fort Caspar] *
1 [Sanborn Fire Insurance Map from Casper, Natrona County, Wyoming] *
1 [Tate Geological Museum] *
1 [Natrona County] *
1 [Sanborn Fire Insurance Map from Casper] *
1 [Earthship near Wheatland, Wyoming] *
1 [Sanborn Fire Insurance Map from Cody, Park County, Wyoming] *
0.625 [Wyoming]
)
= 3.52
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
13
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Cody 30.00%Wyoming 16.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)