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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 551 [Warwickshire] *
24 [west midlands] *
1 [Warwickshire Reformatory for Boys Brass Band] *
1 [Archaeology of Warwickshire] *
1 [Architecture of Warwickshire] *
1 [Campsites in Warwickshire] *
1 [Civil parishes in Warwickshire] *
1 [Coal in Warwickshire] *
1 [Districts of Warwickshire] *
1 [Featured pictures of Warwickshire] *
1 [Food of Warwickshire] *
1 [Gallery pages of Warwickshire] *
1 [Mines in Warwickshire] *
1 [Populated places in Warwickshire] *
1 [Public art in Warwickshire] *
1 [Public services of Warwickshire] *
1 [Sports in Warwickshire] *
1 [Street lights in Warwickshire] *
1 [Symbols of Warwickshire]
)
= 13.2K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.53 [Warwickshire] *
1.5 [west midlands] *
1 [Warwickshire Reformatory for Boys Brass Band] *
1 [Archaeology of Warwickshire] *
1 [Architecture of Warwickshire] *
1 [Campsites in Warwickshire] *
1 [Civil parishes in Warwickshire] *
1 [Coal in Warwickshire] *
1 [Districts of Warwickshire] *
1 [Featured pictures of Warwickshire] *
1 [Food of Warwickshire] *
1 [Gallery pages of Warwickshire] *
1 [Mines in Warwickshire] *
1 [Populated places in Warwickshire] *
1 [Public art in Warwickshire] *
1 [Public services of Warwickshire] *
1 [Sports in Warwickshire] *
1 [Street lights in Warwickshire] *
1 [Symbols of Warwickshire]
)
= 2.29
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Warwickshire 92.92%west midlands 4.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)