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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 25 [Mojo] *
25 [Colm Noonan] *
9 [Franco Treglia] *
25 [Lewis benson] *
36 [jolly mariner] *
81 [Skinsize Kings] *
1 [David Malone] *
25 [James Wykes] *
81 [John McGrath] *
1 [Michael Patterson] *
25 [Robbie Gannon] *
36 [Steve Devaney] *
225 [Tadhg Kelleher] *
9 [pearse doherty (Saw Doctors)] *
9 [Krudd] *
4 [Aidan Duff] *
25 [The Vibe] *
9 [diesel] *
1 [Conor Tiernan] *
1 [Paul Fagan] *
9 [Eric Stacey] *
1 [Alan Wheatley]
)
= 2.76 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Mojo] *
1 [Colm Noonan] *
1 [Franco Treglia] *
1 [Lewis benson] *
1 [jolly mariner] *
1 [Skinsize Kings] *
1 [David Malone] *
1 [James Wykes] *
1 [John McGrath] *
1 [Michael Patterson] *
1 [Robbie Gannon] *
1 [Steve Devaney] *
1 [Tadhg Kelleher] *
1 [pearse doherty (Saw Doctors)] *
1 [Krudd] *
1 [Aidan Duff] *
1 [The Vibe] *
1 [diesel] *
1 [Conor Tiernan] *
1 [Paul Fagan] *
1 [Eric Stacey] *
1 [Alan Wheatley]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
22
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
3.63%
(2.76 × 1024 overall)
Dominant nodes (excluded from chart)Tadhg Kelleher 32.70%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
