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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 529 [FAIRPORT CONVENTION] *
100 [Dave Swarbrick] *
9 [The Ian Campbell Folk Group] *
4 [Swarb's Lazarus] *
9 [Band Of Hope] *
4 [The Keith Hancock Band] *
1 [The Swarbrick Brothers] *
4 [Whippersnapper (2)] *
25 [Swarbrick] *
1 [Dave Swarbrick & Friends] *
361 [Steeleye Span] *
121 [Martin Carthy] *
25 [The Imagined Village] *
16 [Walking With Ghosts] *
16 [Blue Murder (3)] *
1 [Brass Monkey (5)] *
1 [Three City Four] *
9 [Martin Carthy & Family] *
9 [Martin Carthy & The UK Group]
)
= 6.21 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [FAIRPORT CONVENTION] *
1 [Dave Swarbrick] *
1 [The Ian Campbell Folk Group] *
1 [Swarb's Lazarus] *
1 [Band Of Hope] *
1 [The Keith Hancock Band] *
1 [The Swarbrick Brothers] *
1 [Whippersnapper (2)] *
1 [Swarbrick] *
1 [Dave Swarbrick & Friends] *
1 [Steeleye Span] *
1 [Martin Carthy] *
1 [The Imagined Village] *
1 [Walking With Ghosts] *
1 [Blue Murder (3)] *
1 [Brass Monkey (5)] *
1 [Three City Four] *
1 [Martin Carthy & Family] *
1 [Martin Carthy & The UK Group]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.32%
(6.21 × 1020 overall)
Dominant nodes (excluded from chart)FAIRPORT CONVENTION 42.35%Steeleye Span 28.90%Martin Carthy 9.69%Dave Swarbrick 8.01%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)