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, 3) = 3
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 6 [Jeff Kevin] *
12 [Dina Mann] *
12 [Davina Whitehouse] *
9 [Pat McDonald] *
4 [Mike Dorsey] *
4 [James Elliott] *
16 [George Assang] *
361 [Number 96] *
1 [Bettina Welch] *
9 [Bunney Brooke] *
4 [Chard Hayward] *
1 [Elaine Lee] *
1 [Frances Hargreaves] *
1 [Gordon McDougall] *
1 [Joe Hasham] *
1 [Johnny Lockwood] *
1 [Philippa Baker] *
1 [Ron Shand] *
1 [Sheila Kennelly] *
1 [Wendy Blacklock] *
1 [Love from a Stranger]
)
= 155.22B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1.5 [Jeff Kevin] *
1.33 [Dina Mann] *
1.33 [Davina Whitehouse] *
1 [Pat McDonald] *
1 [Mike Dorsey] *
1 [James Elliott] *
1 [George Assang] *
1 [Number 96] *
1 [Bettina Welch] *
1 [Bunney Brooke] *
1 [Chard Hayward] *
1 [Elaine Lee] *
1 [Frances Hargreaves] *
1 [Gordon McDougall] *
1 [Joe Hasham] *
1 [Johnny Lockwood] *
1 [Philippa Baker] *
1 [Ron Shand] *
1 [Sheila Kennelly] *
1 [Wendy Blacklock] *
1 [Love from a Stranger]
)
= 4
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Number 96 79.52%George Assang 3.52%Dina Mann 2.64%Davina Whitehouse 2.64%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)