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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 6 [Dublin City Council] *
210 [Kevin Rowe] *
9 [queens university] *
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] *
1 [National Convention Centre] *
1 [Powerscourt Hotel] *
1 [Radisson Hotel Cork] *
1 [Red Cow Ballroom] *
9 [Civic Offices, Wood Quay, Dublin]
)
= 58.79M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Dublin City Council] *
1.07 [Kevin Rowe] *
1 [queens university] *
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 [National Convention Centre] *
1 [Powerscourt Hotel] *
1 [Radisson Hotel Cork] *
1 [Red Cow Ballroom] *
1 [Civic Offices, Wood Quay, Dublin]
)
= 1.61
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
16
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kevin Rowe 79.55%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)