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, 16) = 16
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 16 * 9 = 144
Base_Influence (IV) = $inbound / $outbound = 16 / 9 = 1.7778
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 144 *
( 8 [Tropical rainforest heritage of Sumatra] *
1 [Aceh] *
1 [Jambi] *
1 [Lampung] *
1 [North Sumatra] *
1 [Riau] *
1 [Riau Islands] *
1 [South Sumatra] *
4 [West Sumatra] *
4 [Tulus] *
1 [Aerial photographs of Sumatra] *
1 [Parks in Sumatra] *
1 [Royalty of Sumatra] *
1 [Tombs in Sumatra] *
1 [Kerinci Seblat National Park] *
1 [Ethnic groups in Sumatra] *
1 [Paddy fields in Sumatra] *
1 [Sunsets of Sumatra]
)
= 18.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.7778 *
( 2 [Tropical rainforest heritage of Sumatra] *
1 [Aceh] *
1 [Jambi] *
1 [Lampung] *
1 [North Sumatra] *
1 [Riau] *
1 [Riau Islands] *
1 [South Sumatra] *
1 [West Sumatra] *
1 [Tulus] *
1 [Aerial photographs of Sumatra] *
1 [Parks in Sumatra] *
1 [Royalty of Sumatra] *
1 [Tombs in Sumatra] *
1 [Kerinci Seblat National Park] *
1 [Ethnic groups in Sumatra] *
1 [Paddy fields in Sumatra] *
1 [Sunsets of Sumatra]
)
= 3.56
Outbound
16
Tags on post
Inbound
9
Posts tagging this
Connections
18
Total nodes
Base Node Strength
144
Base Node Influence
1.7778
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)
