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, 12) = 12
$outbound = max(1, 11) = 11
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 12 * 11 = 132
Base_Influence (IV) = $inbound / $outbound = 12 / 11 = 1.0909
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 132 *
( 6 [Adamawa] *
1 [Central Cameroon] *
1 [East Cameroon] *
1 [Far North Cameroon] *
1 [Littoral Cameroon] *
1 [North Cameroon] *
1 [Northwest Cameroon] *
1 [South Cameroon] *
1 [Southwest Cameroon] *
1 [West Cameroon] *
1 [Bayangam] *
1 [Somié]
)
= 792
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.0909 *
( 1.5 [Adamawa] *
1 [Central Cameroon] *
1 [East Cameroon] *
1 [Far North Cameroon] *
1 [Littoral Cameroon] *
1 [North Cameroon] *
1 [Northwest Cameroon] *
1 [South Cameroon] *
1 [Southwest Cameroon] *
1 [West Cameroon] *
1 [Bayangam] *
1 [Somié]
)
= 1.64
Outbound
12
Tags on post
Inbound
11
Posts tagging this
Connections
12
Total nodes
Base Node Strength
132
Base Node Influence
1.0909
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Photographic studios in Cameroon
BROKEN LINK