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, 9) = 9
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 81 *
( 20 [Cabra] *
110 [Finglas] *
4 [Dave Rotten] *
1 [Erik Raya] *
1 [Furni] *
1 [Juancar] *
1 [Lucky (5)] *
1 [Luis Manuel Quiroga] *
1 [Tana (2)] *
1 [Toni (9)] *
4 [Córdoba] *
1 [Sierras Subbéticas Natural Park] *
1 [Putrevore]
)
= 2.85M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Cabra] *
1.1 [Finglas] *
1 [Dave Rotten] *
1 [Erik Raya] *
1 [Furni] *
1 [Juancar] *
1 [Lucky (5)] *
1 [Luis Manuel Quiroga] *
1 [Tana (2)] *
1 [Toni (9)] *
1 [Córdoba] *
1 [Sierras Subbéticas Natural Park] *
1 [Putrevore]
)
= 1.38
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Connections
13
Total nodes
Base Node Strength
81
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Finglas 48.25%Cabra 8.77%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)