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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 2 [Claremont Institution] *
6 [Meteorological Centre, Glasnevin] *
20 [Irish National Botanic Gardens] *
110 [Finglas] *
4 [Albert College Park, Dublin] *
4 [Claremont Institution, Glasnevin] *
1 [Delville House] *
4 [Griffith Avenue, Dublin] *
4 [Met Eireann] *
1 [Meteorological Centre] *
99 [Glasnevin]
)
= 669.08M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Claremont Institution] *
1.5 [Meteorological Centre, Glasnevin] *
1.25 [Irish National Botanic Gardens] *
1.1 [Finglas] *
1 [Albert College Park, Dublin] *
1 [Claremont Institution, Glasnevin] *
1 [Delville House] *
1 [Griffith Avenue, Dublin] *
1 [Met Eireann] *
1 [Meteorological Centre] *
0.8182 [Glasnevin]
)
= 3.38
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
11
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Finglas 42.97%Glasnevin 38.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)