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 *
( 1 [GRAHAM MITCHELL] *
400 [English National Opera] *
4 [Alison Martin] *
4 [Amy Harman] *
4 [Anthony Chidell] *
4 [Daniel Jemison] *
4 [Alan Baker (2)] *
1 [Andrew Sutton (3)] *
1 [Barry Griffiths] *
1 [Becky Smith] *
4 [Carsten Williams] *
1 [Catherine Duckett] *
1 [Claire Sterling] *
1 [Claire Wickes] *
1 [Colin Clague] *
1 [Colin Paris] *
1 [Corinne Bailey] *
1 [Daniel Finney (3)] *
1 [David Newby] *
1 [Dominic Hackett]
)
= 1.64M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [GRAHAM MITCHELL] *
1 [English National Opera] *
1 [Alison Martin] *
1 [Amy Harman] *
1 [Anthony Chidell] *
1 [Daniel Jemison] *
1 [Alan Baker (2)] *
1 [Andrew Sutton (3)] *
1 [Barry Griffiths] *
1 [Becky Smith] *
1 [Carsten Williams] *
1 [Catherine Duckett] *
1 [Claire Sterling] *
1 [Claire Wickes] *
1 [Colin Clague] *
1 [Colin Paris] *
1 [Corinne Bailey] *
1 [Daniel Finney (3)] *
1 [David Newby] *
1 [Dominic Hackett]
)
= 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)English National Opera 91.32%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)