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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 361 [Denis o'Brien] *
361 [Newstalk] *
49 [James Morrissey] *
16 [Stuart Clarke] *
36 [Tom Dunne] *
81 [Bauer media audio] *
9 [Damien Kiberd] *
4 [Ivan Yates] *
1 [Matt Cooper] *
1 [George Hook] *
1 [Henry McKean] *
1 [Ivan Martin] *
1 [Bobby Kerr] *
1 [Ciara Kelly] *
1 [Mick Clifford] *
1 [Richard Chambers] *
1 [Sarah McInerney] *
1 [Sean Moncrieff] *
9 [Susan Keogh]
)
= 96.53T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Denis o'Brien] *
1 [Newstalk] *
1 [James Morrissey] *
1 [Stuart Clarke] *
1 [Tom Dunne] *
1 [Bauer media audio] *
1 [Damien Kiberd] *
1 [Ivan Yates] *
1 [Matt Cooper] *
1 [George Hook] *
1 [Henry McKean] *
1 [Ivan Martin] *
1 [Bobby Kerr] *
1 [Ciara Kelly] *
1 [Mick Clifford] *
1 [Richard Chambers] *
1 [Sarah McInerney] *
1 [Sean Moncrieff] *
1 [Susan Keogh]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Denis o'Brien 38.53%Newstalk 38.53%Bauer media audio 8.64%James Morrissey 5.23%Tom Dunne 3.84%Stuart Clarke 1.71%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)