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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 12 [Seán Mac Eoin] *
1 [Sean McDermott] *
36 [Séamus Clandillon] *
16 [Canon James Goodman] *
64 [Gaelic League] *
16 [Michael McDunphy] *
64 [douglas hyde] *
25 [Conradh na Gaeilge] *
9 [Arthur Griffith] *
1 [Pádraig Pearse] *
64 [PHOENIX PARK] *
1 [Thomas Clarke] *
9 [Seán T. O'Kelly] *
4 [Cricket Grounds, Phoenix Park] *
1 [Deer in Phoenix Park] *
16 [Dublin Zoo] *
1 [Signs in the Phoenix Park] *
1 [Structures in the Phoenix Park] *
9 [Cricket Grounds] *
1 [People's Garden, Phoenix Park] *
30 [Peter Conefrey] *
8 [Seanad Éireann]
)
= 2.92 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 3 [Seán Mac Eoin] *
1 [Sean McDermott] *
1 [Séamus Clandillon] *
1 [Canon James Goodman] *
1 [Gaelic League] *
1 [Michael McDunphy] *
1 [douglas hyde] *
1 [Conradh na Gaeilge] *
1 [Arthur Griffith] *
1 [Pádraig Pearse] *
1 [PHOENIX PARK] *
1 [Thomas Clarke] *
1 [Seán T. O'Kelly] *
1 [Cricket Grounds, Phoenix Park] *
1 [Deer in Phoenix Park] *
1 [Dublin Zoo] *
1 [Signs in the Phoenix Park] *
1 [Structures in the Phoenix Park] *
1 [Cricket Grounds] *
1 [People's Garden, Phoenix Park] *
0.8333 [Peter Conefrey] *
0.5 [Seanad Éireann]
)
= 1.25
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
22
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
8.47%
(2.92 × 1020 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
