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 24 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 552 [Interference] *
1 [STOMPTOWN BRASS] *
49 [Glen Hansard] *
1 [Fergus O'Farrell] *
9 [paul tiernan] *
16 [Maurice Seezer] *
9 [Joey Pleass] *
196 [Justin Healy] *
1 [Willy Walshe] *
4 [Maurice Culligan] *
4 [Marja Gaynor] *
1 [Karl Penny] *
4 [Gavin Harte] *
1 [Darren McCarthy] *
16 [Colm McCaughey] *
1 [Cian Roche] *
1 [Cal McCarthy] *
4 [Bertrand Galen] *
1 [Anthony Noonan] *
1 [Andrew Philpott] *
1 [Colin Vearncombe] *
1 [Bernard Murphy] *
1 [Jerry Fehilly] *
1 [John FitzGerald]
)
= 112.57T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.04 [Interference] *
1 [STOMPTOWN BRASS] *
1 [Glen Hansard] *
1 [Fergus O'Farrell] *
1 [paul tiernan] *
1 [Maurice Seezer] *
1 [Joey Pleass] *
1 [Justin Healy] *
1 [Willy Walshe] *
1 [Maurice Culligan] *
1 [Marja Gaynor] *
1 [Karl Penny] *
1 [Gavin Harte] *
1 [Darren McCarthy] *
1 [Colm McCaughey] *
1 [Cian Roche] *
1 [Cal McCarthy] *
1 [Bertrand Galen] *
1 [Anthony Noonan] *
1 [Andrew Philpott] *
1 [Colin Vearncombe] *
1 [Bernard Murphy] *
1 [Jerry Fehilly] *
1 [John FitzGerald]
)
= 1.04
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
24
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Interference 62.73%Justin Healy 22.27%Glen Hansard 5.57%Maurice Seezer 1.82%Colm McCaughey 1.82%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)