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 [The Wedding Present] *
9 [Keith Gregory] *
16 [Jon Stewart] *
4 [Mike Stout] *
25 [Paul Dorrington] *
1 [Charles Layton] *
1 [Chris Hardwick (2)] *
1 [Christopher McConville] *
1 [Danielle Wadey] *
9 [Darren Belk] *
4 [David Gedge] *
1 [Geoff Maddock] *
1 [Graeme Ramsay] *
1 [Jayne Lockey] *
1 [Jen Schwartz] *
1 [Kari Paavola] *
1 [Katherine Wallinger] *
1 [Len Liggins] *
9 [Melanie Howard] *
1 [Mike Bedford]
)
= 1.87B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Wedding Present] *
1 [Keith Gregory] *
1 [Jon Stewart] *
1 [Mike Stout] *
1 [Paul Dorrington] *
1 [Charles Layton] *
1 [Chris Hardwick (2)] *
1 [Christopher McConville] *
1 [Danielle Wadey] *
1 [Darren Belk] *
1 [David Gedge] *
1 [Geoff Maddock] *
1 [Graeme Ramsay] *
1 [Jayne Lockey] *
1 [Jen Schwartz] *
1 [Kari Paavola] *
1 [Katherine Wallinger] *
1 [Len Liggins] *
1 [Melanie Howard] *
1 [Mike Bedford]
)
= 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)The Wedding Present 81.80%Paul Dorrington 5.11%Jon Stewart 3.27%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)