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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 6 [HKICC Lee Shau Kee School of Creativity, HKSC] *
6 [HKU] *
90 [Lee Shau-Kee] *
1 [HKFYG Lee Shau Kee College] *
1 [HKFYG Lee Shau Kee Primary School] *
1 [Shun Tak Fraternal Association Lee Shau Kee College] *
9 [HKICC Lee Shau Kee School of Creativity] *
4 [Lee Shau Kee Lecture Centre, HKU] *
6 [HKSC]
)
= 699.8K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [HKICC Lee Shau Kee School of Creativity, HKSC] *
1.5 [HKU] *
1.11 [Lee Shau-Kee] *
1 [HKFYG Lee Shau Kee College] *
1 [HKFYG Lee Shau Kee Primary School] *
1 [Shun Tak Fraternal Association Lee Shau Kee College] *
1 [HKICC Lee Shau Kee School of Creativity] *
1 [Lee Shau Kee Lecture Centre, HKU] *
0.6667 [HKSC]
)
= 1.67
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
9
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Lee Shau-Kee 72.00%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)