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, 10) = 10
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1
// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 2 [Seven Sister States] *
20 [Sikkim] *
1 [Atlas of Sikkim] *
1 [Photographs of the national flag of India in Sikkim] *
1 [Unidentified locations in Sikkim] *
1 [Adam Thorpe] *
1 [Kyle Mcneill] *
1 [Gaz Martinez] *
1 [Graeme Farmer] *
4 [Josh Winnard] *
1 [Sam Christou] *
1 [North Eastern Council] *
1 [Steve Loftin (2)] *
49 [Wytch Hazel]
)
= 784K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Seven Sister States] *
1.25 [Sikkim] *
1 [Atlas of Sikkim] *
1 [Photographs of the national flag of India in Sikkim] *
1 [Unidentified locations in Sikkim] *
1 [Adam Thorpe] *
1 [Kyle Mcneill] *
1 [Gaz Martinez] *
1 [Graeme Farmer] *
1 [Josh Winnard] *
1 [Sam Christou] *
1 [North Eastern Council] *
1 [Steve Loftin (2)] *
1 [Wytch Hazel]
)
= 2.5
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Connections
14
Total nodes
Base Node Strength
100
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Wytch Hazel 26.49%Sikkim 10.81%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)