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, 7) = 7
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1
// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 1 [MERCY TRAIN] *
49 [Shadowland] *
9 [Ian Salmon] *
81 [Clive Nolan] *
25 [Bernd Intveen] *
1 [Mark Westwood] *
1 [Mike Varty] *
1 [Nick Harradence] *
4 [Dancing On Stones] *
1 [Medicine Man (7)] *
9 [Shadowland (2)] *
4 [Strangers On A Train] *
4 [Threshold (3)] *
169 [Damian Wilson]
)
= 4.26T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [MERCY TRAIN] *
1 [Shadowland] *
1 [Ian Salmon] *
1 [Clive Nolan] *
1 [Bernd Intveen] *
1 [Mark Westwood] *
1 [Mike Varty] *
1 [Nick Harradence] *
1 [Dancing On Stones] *
1 [Medicine Man (7)] *
1 [Shadowland (2)] *
1 [Strangers On A Train] *
1 [Threshold (3)] *
1 [Damian Wilson]
)
= 1
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
14
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Damian Wilson 41.42%Clive Nolan 19.85%Shadowland 12.01%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
