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, 3) = 3
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 1 = 3
Base_Influence (IV) = $inbound / $outbound = 3 / 1 = 3
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 3 *
( 2 [Gran Chaco] *
6 [Bo, Sierra Leone] *
12 [Altiplano] *
20 [Lac] *
30 [Yungas] *
16 [Cerrado] *
4 [Bol] *
9 [Bo District] *
4 [Freetown] *
1 [Unidentified locations in Sierra Leone] *
4 [Port Loko District] *
1 [Unidentified subjects in Sierra Leone] *
1 [Wikimedia movement in Sierra Leone] *
56 [Bolivia] *
42 [sierra-leone] *
6 [Upper Peru]
)
= 33.71T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 3 *
( 2 [Gran Chaco] *
1.5 [Bo, Sierra Leone] *
1.33 [Altiplano] *
1.25 [Lac] *
1.2 [Yungas] *
1 [Cerrado] *
1 [Bol] *
1 [Bo District] *
1 [Freetown] *
1 [Unidentified locations in Sierra Leone] *
1 [Port Loko District] *
1 [Unidentified subjects in Sierra Leone] *
1 [Wikimedia movement in Sierra Leone] *
0.875 [Bolivia] *
0.8571 [sierra-leone] *
0.6667 [Upper Peru]
)
= 9
Outbound
3
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
3
Base Node Influence
3
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)