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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 1 [Britain Loves Wikipedia at the Victoria and Albert Museum] *
1 [Google Art Project works in Victoria and Albert Museum] *
1 [Royal Architectural Museum] *
1 [Sea World Culture and Arts Center] *
1 [Wikipedia Loves Art at the Victoria and Albert Museum] *
1 [Institution:Victoria and Albert Museum] *
1 [Martin Parr In Conversation - V&A - Monday 13th May 2024] *
1 [Template:The Botticelli Renaissance]
)
= 64
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Britain Loves Wikipedia at the Victoria and Albert Museum] *
1 [Google Art Project works in Victoria and Albert Museum] *
1 [Royal Architectural Museum] *
1 [Sea World Culture and Arts Center] *
1 [Wikipedia Loves Art at the Victoria and Albert Museum] *
1 [Institution:Victoria and Albert Museum] *
1 [Martin Parr In Conversation - V&A - Monday 13th May 2024] *
1 [Template:The Botticelli Renaissance]
)
= 1
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
8
Total nodes
Base Node Strength
64
Base Node Influence
1
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)