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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 24 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 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] *
1 [Lia Williams] *
1 [Robyn Addison] *
1 [Rory Wilton] *
1 [Rosie Ede] *
1 [Selina Cadell] *
1 [Stephanie Cole] *
1 [Stewart Wright] *
9 [The Boat That Rocked] *
4 [The Guernsey Literary and Potato Peel Pie Society] *
1 [The IT Crowd] *
16 [Tom Brooke] *
9 [Tom Wisdom] *
16 [Michiel Huisman]
)
= 4.76 x 10^15
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 [Lia Williams] *
1 [Robyn Addison] *
1 [Rory Wilton] *
1 [Rosie Ede] *
1 [Selina Cadell] *
1 [Stephanie Cole] *
1 [Stewart Wright] *
1 [The Boat That Rocked] *
1 [The Guernsey Literary and Potato Peel Pie Society] *
1 [The IT Crowd] *
1 [Tom Brooke] *
1 [Tom Wisdom] *
1 [Michiel Huisman]
)
= 2.08
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
24
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
3.21%
(4.76 × 1015 overall)
Dominant nodes (excluded from chart)Doc Martin 64.93%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)