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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 306 [Late Night Shopping] *
49 [Enzo Cilenti] *
16 [Kate Ashfield] *
1 [Almar Haflidason] *
1 [Bobby Finn] *
1 [Carmen Pierquaccini] *
25 [Garry Sweeney] *
1 [Heike Makatsch] *
25 [Jack Lothian] *
9 [James Lance] *
1 [John Wark] *
1 [Laurie Ventry] *
1 [Lesley Harcourt] *
1 [Luke de Woolfson] *
1 [Nigel Buckland] *
1 [Shauna Macdonald] *
1 [Sienna Guillory] *
1 [A Very British Romance]
)
= 5.4B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.06 [Late Night Shopping] *
1 [Enzo Cilenti] *
1 [Kate Ashfield] *
1 [Almar Haflidason] *
1 [Bobby Finn] *
1 [Carmen Pierquaccini] *
1 [Garry Sweeney] *
1 [Heike Makatsch] *
1 [Jack Lothian] *
1 [James Lance] *
1 [John Wark] *
1 [Laurie Ventry] *
1 [Lesley Harcourt] *
1 [Luke de Woolfson] *
1 [Nigel Buckland] *
1 [Shauna Macdonald] *
1 [Sienna Guillory] *
1 [A Very British Romance]
)
= 1.06
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
18
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Late Night Shopping 68.61%Enzo Cilenti 10.99%Garry Sweeney 5.61%Jack Lothian 5.61%Kate Ashfield 3.59%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)