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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [John Marquez] *
20 [Buffy Davis] *
20 [Eileen Atkins] *
16 [Martin Clunes] *
324 [Doc Martin] *
1 [Angela Curran] *
1 [Caroline Catz] *
1 [Elliott Blake] *
9 [Ian McNeice] *
16 [Jessica Ransom] *
1 [Joe Absolom] *
16 [Katherine Parkinson] *
1 [Lia Williams] *
1 [Robyn Addison] *
1 [Rory Wilton] *
1 [Rosie Ede] *
1 [Selina Cadell] *
1 [Stephanie Cole]
)
= 57.33B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [John Marquez] *
1.25 [Buffy Davis] *
1.25 [Eileen Atkins] *
1 [Martin Clunes] *
1 [Doc Martin] *
1 [Angela Curran] *
1 [Caroline Catz] *
1 [Elliott Blake] *
1 [Ian McNeice] *
1 [Jessica Ransom] *
1 [Joe Absolom] *
1 [Katherine Parkinson] *
1 [Lia Williams] *
1 [Robyn Addison] *
1 [Rory Wilton] *
1 [Rosie Ede] *
1 [Selina Cadell] *
1 [Stephanie Cole]
)
= 2.08
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Doc Martin 72.97%Buffy Davis 4.50%Eileen Atkins 4.50%Martin Clunes 3.60%Jessica Ransom 3.60%Katherine Parkinson 3.60%John Marquez 2.70%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)