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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 96 [RMS Titanic] *
132 [Cobh] *
16 [John Bigham] *
1 [Homer Davenport] *
9 [John Bigham, 1st Viscount Mersey] *
1 [Morgan Robertson] *
1 [William Alden Smith] *
9 [1st Viscount Mersey] *
1 [EVNautilus] *
1 [National Geographic Explorer] *
1 [The Search for Kennedy's PT 109]
)
= 262.77M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [RMS Titanic] *
1.09 [Cobh] *
1 [John Bigham] *
1 [Homer Davenport] *
1 [John Bigham, 1st Viscount Mersey] *
1 [Morgan Robertson] *
1 [William Alden Smith] *
1 [1st Viscount Mersey] *
1 [EVNautilus] *
1 [National Geographic Explorer] *
1 [The Search for Kennedy's PT 109]
)
= 1.64
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
11
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Cobh 46.48%RMS Titanic 33.80%John Bigham 5.63%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)