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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 6 [Singapore, Michigan] *
221 [Allegan County] *
20 [Saugatuck, Michigan] *
16 [Fennville, Michigan] *
1 [Martin, Michigan] *
4 [Otsego, Michigan] *
4 [Allegan, Michigan] *
4 [Postcards of Allegan County, Michigan] *
4 [Manlius Township, Michigan] *
1 [Birds of Allegan County, Michigan] *
1 [C&O Kalamazoo River Bridge] *
4 [County roads in Allegan County, Michigan] *
4 [Wayland, Michigan] *
1 [Monterey Center]
)
= 6.95B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Singapore, Michigan] *
1.31 [Allegan County] *
1.25 [Saugatuck, Michigan] *
1 [Fennville, Michigan] *
1 [Martin, Michigan] *
1 [Otsego, Michigan] *
1 [Allegan, Michigan] *
1 [Postcards of Allegan County, Michigan] *
1 [Manlius Township, Michigan] *
1 [Birds of Allegan County, Michigan] *
1 [C&O Kalamazoo River Bridge] *
1 [County roads in Allegan County, Michigan] *
1 [Wayland, Michigan] *
1 [Monterey Center]
)
= 2.45
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
14
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Allegan County 74.92%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)