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 26 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 121 [Country Flavour] *
9 [Frank Smith] *
9 [Martin Rea] *
1 [Pat Quinn] *
25 [Dan O'Hara] *
16 [Michael McNally] *
9 [Brian McNally] *
16 [Eileen King] *
1 [Kieran Doherty] *
25 [Kevin Casey] *
9 [Philomena Begley] *
16 [Sonny Ward] *
1 [Mickey Slyman] *
4 [Peter Shanagher] *
1 [Ryan Billy] *
9 [Jimmy O'Neill] *
9 [Patsy McCaul] *
1 [Paddy Malone] *
25 [Bob Madden] *
4 [Deane Lane] *
1 [Pete Kelly] *
1 [Larry Carolan] *
1 [Jim Carney] *
225 [Premier Aces] *
16 [Con Hynes] *
25 [Johnny Carroll]
)
= 2.37 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Country Flavour] *
1 [Frank Smith] *
1 [Martin Rea] *
1 [Pat Quinn] *
1 [Dan O'Hara] *
1 [Michael McNally] *
1 [Brian McNally] *
1 [Eileen King] *
1 [Kieran Doherty] *
1 [Kevin Casey] *
1 [Philomena Begley] *
1 [Sonny Ward] *
1 [Mickey Slyman] *
1 [Peter Shanagher] *
1 [Ryan Billy] *
1 [Jimmy O'Neill] *
1 [Patsy McCaul] *
1 [Paddy Malone] *
1 [Bob Madden] *
1 [Deane Lane] *
1 [Pete Kelly] *
1 [Larry Carolan] *
1 [Jim Carney] *
1 [Premier Aces] *
1 [Con Hynes] *
1 [Johnny Carroll]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
26
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.68%
(2.37 × 1022 overall)
Dominant nodes (excluded from chart)Premier Aces 38.53%Country Flavour 20.72%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)