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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 2 [Limerick School of Art & Design] *
2 [national St. Patrick’s Festival] *
2 [The Clarence Hotel] *
2 [Westport Festival of Music] *
6 [National Gallery of Ireland] *
6 [The Dean Hotel] *
12 [Ireland’s Edge Culture & Creativity Conference] *
42 [Other Voices] *
4 [Caravaggio] *
50 [Aileen Galvin]
)
= 58.06M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Limerick School of Art & Design] *
2 [national St. Patrick’s Festival] *
2 [The Clarence Hotel] *
2 [Westport Festival of Music] *
1.5 [National Gallery of Ireland] *
1.5 [The Dean Hotel] *
1.33 [Ireland’s Edge Culture & Creativity Conference] *
1.17 [Other Voices] *
1 [Caravaggio] *
0.5 [Aileen Galvin]
)
= 28
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
10
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Aileen Galvin 38.76%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)