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 *
( 4 [David Glover] *
196 [Michael Caine] *
16 [Ric Hutton] *
361 [The Ipcress File] *
1 [Anthony Baird] *
1 [Anthony Blackshaw] *
1 [Aubrey Richards] *
1 [Barry Raymond] *
1 [Frank Gatliff] *
1 [Freda Bamford] *
1 [Gordon Jackson] *
1 [Guy Doleman] *
1 [Mike Murray] *
1 [Nigel Green] *
1 [Oliver MacGreevy] *
1 [Peter Ashmore] *
1 [Stanley Meadows] *
1 [Sue Lloyd] *
1 [Thomas Baptiste]
)
= 4.53M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [David Glover] *
1 [Michael Caine] *
1 [Ric Hutton] *
1 [The Ipcress File] *
1 [Anthony Baird] *
1 [Anthony Blackshaw] *
1 [Aubrey Richards] *
1 [Barry Raymond] *
1 [Frank Gatliff] *
1 [Freda Bamford] *
1 [Gordon Jackson] *
1 [Guy Doleman] *
1 [Mike Murray] *
1 [Nigel Green] *
1 [Oliver MacGreevy] *
1 [Peter Ashmore] *
1 [Stanley Meadows] *
1 [Sue Lloyd] *
1 [Thomas Baptiste]
)
= 1
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)The Ipcress File 60.88%Michael Caine 33.05%Ric Hutton 2.70%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)