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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 36 [Anak Agung Mandera] *
400 [John Coast] *
9 [Anak Agung Gede Mandra] *
324 [Gunung Sari] *
25 [Dancers of Bali] *
1 [Anak Agung Gedé Mandera] *
1 [Déwa Berata] *
1 [Dr. Madé Bandem] *
1 [Dr. Nyoman Catra and Desak Madé Suarti Laksmi] *
1 [Dr. Wayan Dibia] *
1 [Ketut Asnawa] *
1 [Ketut Suryatini] *
1 [Komang Astita] *
1 [Madé Arnawa] *
1 [Made Netra] *
1 [Surabaya] *
1 [Wayan Beratha] *
1 [Wayan Gandera]
)
= 1.05B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Anak Agung Mandera] *
1 [John Coast] *
1 [Anak Agung Gede Mandra] *
1 [Gunung Sari] *
1 [Dancers of Bali] *
1 [Anak Agung Gedé Mandera] *
1 [Déwa Berata] *
1 [Dr. Madé Bandem] *
1 [Dr. Nyoman Catra and Desak Madé Suarti Laksmi] *
1 [Dr. Wayan Dibia] *
1 [Ketut Asnawa] *
1 [Ketut Suryatini] *
1 [Komang Astita] *
1 [Madé Arnawa] *
1 [Made Netra] *
1 [Surabaya] *
1 [Wayan Beratha] *
1 [Wayan Gandera]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)John Coast 49.50%Gunung Sari 40.10%Anak Agung Mandera 4.46%Dancers of Bali 3.09%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)