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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 400 [Dublin City Ramblers] *
1 [Phil McCafferty] *
4 [Kevin Geraghty] *
100 [John Drummond] *
4 [John McCabe] *
1 [kevin molloy] *
9 [Paddy Sweeney] *
16 [Patsy Watchorn] *
9 [the quare fellas] *
1 [Tom Miller] *
4 [Stephen Leeson] *
25 [Shay Kavanagh] *
1 [Sean McGuinness] *
1 [Pierce Plunkett] *
1 [Philip McCaffrey] *
1 [Mick Crotty] *
1 [Kevin Gerahty] *
1 [Derrick Keane] *
1 [Kevin Molloy (2)] *
4 [Paddy Sweeney (2)]
)
= 331.78B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dublin City Ramblers] *
1 [Phil McCafferty] *
1 [Kevin Geraghty] *
1 [John Drummond] *
1 [John McCabe] *
1 [kevin molloy] *
1 [Paddy Sweeney] *
1 [Patsy Watchorn] *
1 [the quare fellas] *
1 [Tom Miller] *
1 [Stephen Leeson] *
1 [Shay Kavanagh] *
1 [Sean McGuinness] *
1 [Pierce Plunkett] *
1 [Philip McCaffrey] *
1 [Mick Crotty] *
1 [Kevin Gerahty] *
1 [Derrick Keane] *
1 [Kevin Molloy (2)] *
1 [Paddy Sweeney (2)]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Dublin City Ramblers 68.26%John Drummond 17.06%Shay Kavanagh 4.27%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
