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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 16 [Geoffrey's First Affair] *
36 [Ed Darragh] *
9 [John McCrea] *
1 [Hughie Purcell] *
25 [Pat Fitzpatrick] *
25 [Trevor Hutchinson] *
121 [Paddy Dunning] *
121 [Swim] *
4 [Joe Reilly] *
36 [Wayne Sheehy] *
4 [Ger Kiely] *
16 [Paul Holmes] *
4 [Patrick Donne] *
1 [Conor Barry] *
49 [A-House] *
36 [Dave Couse] *
4 [David Morrissey] *
1 [Dermot Wylie] *
1 [Fergal Bunbury] *
1 [Martin Healy (2)] *
1 [Susan Kavanagh]
)
= 1.11 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Geoffrey's First Affair] *
1 [Ed Darragh] *
1 [John McCrea] *
1 [Hughie Purcell] *
1 [Pat Fitzpatrick] *
1 [Trevor Hutchinson] *
1 [Paddy Dunning] *
1 [Swim] *
1 [Joe Reilly] *
1 [Wayne Sheehy] *
1 [Ger Kiely] *
1 [Paul Holmes] *
1 [Patrick Donne] *
1 [Conor Barry] *
1 [A-House] *
1 [Dave Couse] *
1 [David Morrissey] *
1 [Dermot Wylie] *
1 [Fergal Bunbury] *
1 [Martin Healy (2)] *
1 [Susan Kavanagh]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
21
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.73%
(1.11 × 1020 overall)
Dominant nodes (excluded from chart)Paddy Dunning 23.22%Swim 23.22%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
