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 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 28 [Andrew Carnegie] *
48 [Carnegie Museums of Pittsburgh] *
56 [Cooper–Hewitt] *
1 [Carnegie libraries] *
9 [Eads Bridge] *
1 [Textile design in the Cooper–Hewitt] *
1 [11 East 90th Street] *
1 [9 East 90th Street] *
1 [Eleanor Garnier Hewitt] *
1 [Drawings by Vincent van Gogh in the Cooper Hewitt, Smithsonian Design Museum] *
1 [Institution:Cooper Hewitt, Smithsonian Design Museum]
)
= 2.71M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.75 [Andrew Carnegie] *
1.33 [Carnegie Museums of Pittsburgh] *
1.14 [Cooper–Hewitt] *
1 [Carnegie libraries] *
1 [Eads Bridge] *
1 [Textile design in the Cooper–Hewitt] *
1 [11 East 90th Street] *
1 [9 East 90th Street] *
1 [Eleanor Garnier Hewitt] *
1 [Drawings by Vincent van Gogh in the Cooper Hewitt, Smithsonian Design Museum] *
1 [Institution:Cooper Hewitt, Smithsonian Design Museum]
)
= 2.67
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
11
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Cooper–Hewitt 36.84%Carnegie Museums of Pittsburgh 31.58%Andrew Carnegie 18.42%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)