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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 1 [Sam Phillips] *
49 [Enzo Cilenti] *
16 [Kate Ashfield] *
289 [Late Night Shopping] *
1 [Almar Haflidason] *
1 [Bobby Finn] *
1 [Carmen Pierquaccini] *
4 [Claire Harman] *
25 [Garry Sweeney] *
1 [Heike Makatsch] *
25 [Jack Lothian] *
9 [James Lance] *
1 [John Wark] *
1 [Laurie Ventry] *
1 [Lesley Harcourt] *
1 [Nigel Buckland] *
1 [Sienna Guillory]
)
= 5.1B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Sam Phillips] *
1 [Enzo Cilenti] *
1 [Kate Ashfield] *
1 [Late Night Shopping] *
1 [Almar Haflidason] *
1 [Bobby Finn] *
1 [Carmen Pierquaccini] *
1 [Claire Harman] *
1 [Garry Sweeney] *
1 [Heike Makatsch] *
1 [Jack Lothian] *
1 [James Lance] *
1 [John Wark] *
1 [Laurie Ventry] *
1 [Lesley Harcourt] *
1 [Nigel Buckland] *
1 [Sienna Guillory]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Late Night Shopping 67.52%Enzo Cilenti 11.45%Garry Sweeney 5.84%Jack Lothian 5.84%Kate Ashfield 3.74%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)