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 *
( 25 [Sean Keane] *
9 [Frances Black] *
9 [NIAMH PARSONS] *
9 [Sharon Shannon] *
25 [jackie daly] *
36 [PJ Curtis] *
144 [arcady] *
4 [Johnny "Ringo" McDonagh] *
4 [Cathal Hayden] *
1 [Patsy Broderick] *
1 [Conor Keane] *
1 [Brendan Larrissey] *
25 [Kornog] *
1 [Skeduz] *
36 [Arcady (2)] *
1 [Coeff.4] *
1 [Orion (41)] *
9 [Gilles Le Bigot] *
4 [Jamie McMenemy] *
1 [Jean-Michel Veillon] *
4 [Christian Lemaître] *
9 [Seamie O'Dowd]
)
= 1.59 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Sean Keane] *
1 [Frances Black] *
1 [NIAMH PARSONS] *
1 [Sharon Shannon] *
1 [jackie daly] *
1 [PJ Curtis] *
1 [arcady] *
1 [Johnny "Ringo" McDonagh] *
1 [Cathal Hayden] *
1 [Patsy Broderick] *
1 [Conor Keane] *
1 [Brendan Larrissey] *
1 [Kornog] *
1 [Skeduz] *
1 [Arcady (2)] *
1 [Coeff.4] *
1 [Orion (41)] *
1 [Gilles Le Bigot] *
1 [Jamie McMenemy] *
1 [Jean-Michel Veillon] *
1 [Christian Lemaître] *
1 [Seamie O'Dowd]
)
= 1
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)
9.11%
(1.59 × 1018 overall)
Dominant nodes (excluded from chart)arcady 36.46%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
