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, 2) = 2
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 3 = 6
Base_Influence (IV) = $inbound / $outbound = 2 / 3 = 0.6667
// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 15 [Rosita Marstini] *
25 [Hablot Knight Browne] *
1 [PL Opowieść o dwóch miastach] *
4 [Bleak House] *
1 [Engravings by Hablot K. Browne] *
1 [Nicholas Nickleby] *
1 [Dame Duck's lecture]
)
= 9K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.6667 *
( 1.67 [Rosita Marstini] *
1 [Hablot Knight Browne] *
1 [PL Opowieść o dwóch miastach] *
1 [Bleak House] *
1 [Engravings by Hablot K. Browne] *
1 [Nicholas Nickleby] *
1 [Dame Duck's lecture]
)
= 1.11
Outbound
2
Tags on post
Inbound
3
Posts tagging this
Connections
7
Total nodes
Base Node Strength
6
Base Node Influence
0.6667
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Hablot Knight Browne 46.30%Rosita Marstini 27.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)