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, 11) = 11
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 9 = 99
Base_Influence (IV) = $inbound / $outbound = 11 / 9 = 1.2222
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 99 *
( 2 [11th Baronet] *
1 [Creator:Sir Thomas Dyke Acland, 11th Baronet] *
1 [Alice Acland] *
1 [Acland No. 2 Colliery] *
1 [Gilbert Acland-Troyte] *
1 [Antony Acland] *
1 [Henry Acland] *
1 [Lady Harriet Acland] *
1 [Leopold Acland] *
1 [Richard Acland] *
1 [Acland Presbyterian Church] *
1 [Sir William Acland, 2nd Baronet]
)
= 198
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.2222 *
( 2 [11th Baronet] *
1 [Creator:Sir Thomas Dyke Acland, 11th Baronet] *
1 [Alice Acland] *
1 [Acland No. 2 Colliery] *
1 [Gilbert Acland-Troyte] *
1 [Antony Acland] *
1 [Henry Acland] *
1 [Lady Harriet Acland] *
1 [Leopold Acland] *
1 [Richard Acland] *
1 [Acland Presbyterian Church] *
1 [Sir William Acland, 2nd Baronet]
)
= 2.44
Outbound
11
Tags on post
Inbound
9
Posts tagging this
Connections
12
Total nodes
Base Node Strength
99
Base Node Influence
1.2222
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Acland, Queensland
BROKEN LINKSir Thomas Dyke Acland, 11th Baronet
BROKEN LINK