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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 35 [Dalkey] *
16 [David Colohan] *
4 [Enda trautt] *
36 [United Bible Studies] *
16 [GAVIN PRIOR] *
1 [Graeme Lockett] *
1 [Dom Cooper] *
1 [Dalkey Castle and Heritage Centre] *
1 [Dalkey railway station] *
1 [Archbold's Castle, Dalkey] *
1 [The Queen's Bar, Dalkey]
)
= 5.16M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.4 [Dalkey] *
1 [David Colohan] *
1 [Enda trautt] *
1 [United Bible Studies] *
1 [GAVIN PRIOR] *
1 [Graeme Lockett] *
1 [Dom Cooper] *
1 [Dalkey Castle and Heritage Centre] *
1 [Dalkey railway station] *
1 [Archbold's Castle, Dalkey] *
1 [The Queen's Bar, Dalkey]
)
= 1.4
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
11
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)United Bible Studies 30.77%Dalkey 29.91%David Colohan 13.68%GAVIN PRIOR 13.68%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)