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, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 10 = 90
Base_Influence (IV) = $inbound / $outbound = 9 / 10 = 0.9
// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 90 *
( 2 [Karesi] *
1 [Altıeylül] *
4 [Armutalan, Balıkesir] *
1 [Food of Balıkesir] *
1 [Fountains in Balıkesir] *
4 [Gökköy, Balıkesir] *
9 [Havutbaşı, Balya] *
4 [Karesi, Balıkesir] *
1 [Parks in Balıkesir] *
1 [Sculptures in Balıkesir] *
1 [Armutalan] *
1 [Gökköy] *
4 [Balya] *
1 [Havutbaşı]
)
= 414.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.9 *
( 2 [Karesi] *
1 [Altıeylül] *
1 [Armutalan, Balıkesir] *
1 [Food of Balıkesir] *
1 [Fountains in Balıkesir] *
1 [Gökköy, Balıkesir] *
1 [Havutbaşı, Balya] *
1 [Karesi, Balıkesir] *
1 [Parks in Balıkesir] *
1 [Sculptures in Balıkesir] *
1 [Armutalan] *
1 [Gökköy] *
1 [Balya] *
1 [Havutbaşı]
)
= 1.8
Outbound
9
Tags on post
Inbound
10
Posts tagging this
Connections
14
Total nodes
Base Node Strength
90
Base Node Influence
0.9
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
