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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 56 [RTÉ] *
36 [PJ Curtis] *
1 [radio 1] *
1 [Cathal Murray] *
1 [Lilian Smith] *
9 [Cathal Funge] *
1 [Penny Rose-Hart] *
81 [RTÉ Radio] *
1 [louise duffy] *
100 [RTÉ Radio 1] *
1 [Aidan Leonard] *
9 [RTÉ Gold] *
16 [Jimmy Greeley] *
4 [Dan Hegarty] *
1 [John McMahon] *
1 [Tara Stewart] *
4 [Jenny Greene] *
1 [Tracy Clifford] *
4 [Jim Lockhart] *
64 [RTÉ 2FM] *
1 [East Coast Radio] *
1 [Paul Crossan]
)
= 2.17 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.14 [RTÉ] *
1 [PJ Curtis] *
1 [radio 1] *
1 [Cathal Murray] *
1 [Lilian Smith] *
1 [Cathal Funge] *
1 [Penny Rose-Hart] *
1 [RTÉ Radio] *
1 [louise duffy] *
1 [RTÉ Radio 1] *
1 [Aidan Leonard] *
1 [RTÉ Gold] *
1 [Jimmy Greeley] *
1 [Dan Hegarty] *
1 [John McMahon] *
1 [Tara Stewart] *
1 [Jenny Greene] *
1 [Tracy Clifford] *
1 [Jim Lockhart] *
1 [RTÉ 2FM] *
1 [East Coast Radio] *
1 [Paul Crossan]
)
= 1.14
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
22
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
5.97%
(2.17 × 1015 overall)
Dominant nodes (excluded from chart)RTÉ Radio 1 23.87%RTÉ Radio 19.33%RTÉ 2FM 15.27%RTÉ 13.37%PJ Curtis 8.59%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
