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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 210 [Kevin Rowe] *
4 [CITYWEST HOTEL] *
1 [Bonnington Hotel] *
9 [CROKE PARK] *
1 [City North Hotel] *
1 [Clayton Burlington Dublin] *
1 [Fitzpatrick Castle] *
4 [Ballsbridge Hotel] *
1 [CORK OPERA HOUSE] *
4 [Mansion House Dublin] *
1 [National Convention Centre] *
1 [Powerscourt Hotel] *
1 [Radisson Hotel Cork] *
1 [Red Cow Ballroom] *
16 [Seán Ó Baoighill [O’Boyle]] *
1 [Royal Belfast Academical Institution] *
9 [Carl Hardebeck] *
16 [St Patrick s College] *
1 [St Malachy s College]
)
= 2.51B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.07 [Kevin Rowe] *
1 [CITYWEST HOTEL] *
1 [Bonnington Hotel] *
1 [CROKE PARK] *
1 [City North Hotel] *
1 [Clayton Burlington Dublin] *
1 [Fitzpatrick Castle] *
1 [Ballsbridge Hotel] *
1 [CORK OPERA HOUSE] *
1 [Mansion House Dublin] *
1 [National Convention Centre] *
1 [Powerscourt Hotel] *
1 [Radisson Hotel Cork] *
1 [Red Cow Ballroom] *
1 [Seán Ó Baoighill [O’Boyle]] *
1 [Royal Belfast Academical Institution] *
1 [Carl Hardebeck] *
1 [St Patrick s College] *
1 [St Malachy s College]
)
= 1.07
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
19
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kevin Rowe 71.92%Seán Ó Baoighill [O’Boyle] 5.48%St Patrick s College 5.48%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)