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 24 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 42 [Ossie Kilkenny] *
81 [Michael Lowry] *
324 [Denis o'Brien] *
81 [Moriarty Tribunal] *
9 [Communicorp] *
324 [Today FM] *
361 [Newstalk] *
49 [ben dunne] *
4 [boston college] *
4 [digicell] *
36 [ibrc] *
9 [topaz] *
64 [University College Dublin] *
9 [beacon hospital] *
49 [James Morrissey] *
25 [independent news & media] *
9 [siteserv] *
16 [Dee Forbes] *
49 [Irish Independent] *
1 [sir anthony o'reilly] *
16 [Tony O’Reilly] *
36 [IRTC] *
16 [Collum kenny] *
20 [John Reynolds]
)
= 1.97 x 10^35
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Ossie Kilkenny] *
1 [Michael Lowry] *
1 [Denis o'Brien] *
1 [Moriarty Tribunal] *
1 [Communicorp] *
1 [Today FM] *
1 [Newstalk] *
1 [ben dunne] *
1 [boston college] *
1 [digicell] *
1 [ibrc] *
1 [topaz] *
1 [University College Dublin] *
1 [beacon hospital] *
1 [James Morrissey] *
1 [independent news & media] *
1 [siteserv] *
1 [Dee Forbes] *
1 [Irish Independent] *
1 [sir anthony o'reilly] *
1 [Tony O’Reilly] *
1 [IRTC] *
1 [Collum kenny] *
0.8 [John Reynolds]
)
= 0.9334
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
24
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.55%
(1.97 × 1035 overall)
Dominant nodes (excluded from chart)Newstalk 21.97%Denis o'Brien 19.72%Today FM 19.72%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
