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, 16) = 16
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 16 * 9 = 144
Base_Influence (IV) = $inbound / $outbound = 16 / 9 = 1.7778
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 144 *
( 10 [West Sumatra] *
8 [Tropical rainforest heritage of Sumatra] *
1 [Aceh] *
1 [Jambi] *
1 [Lampung] *
1 [North Sumatra] *
1 [Riau] *
1 [Riau Islands] *
1 [South Sumatra] *
4 [Tulus] *
1 [Kerinci Seblat National Park]
)
= 46.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.7778 *
( 2.5 [West Sumatra] *
2 [Tropical rainforest heritage of Sumatra] *
1 [Aceh] *
1 [Jambi] *
1 [Lampung] *
1 [North Sumatra] *
1 [Riau] *
1 [Riau Islands] *
1 [South Sumatra] *
1 [Tulus] *
1 [Kerinci Seblat National Park]
)
= 8.89
Outbound
16
Tags on post
Inbound
9
Posts tagging this
Connections
11
Total nodes
Base Node Strength
144
Base Node Influence
1.7778
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)West Sumatra 5.75%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Aerial photographs of Sumatra
BROKEN LINKEthnic groups in Sumatra
BROKEN LINKPaddy fields in Sumatra
BROKEN LINKParks in Sumatra
BROKEN LINKRoyalty of Sumatra
BROKEN LINKSunsets of Sumatra
BROKEN LINKTombs in Sumatra
BROKEN LINK
