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, 9) = 9
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 8 = 72
Base_Influence (IV) = $inbound / $outbound = 9 / 8 = 1.125
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 72 *
( 3 [বাংলাদেশ] *
72 [Dhaka] *
90 [Bangladesh] *
1 [Barishal] *
1 [Chittagong] *
1 [Khulna] *
1 [Mymensingh] *
1 [Rajshahi] *
1 [Sylhet] *
1 [Architecture of Rangpur] *
1 [Chiklir Beel] *
1 [Public services in Rangpur] *
1 [Statues in Rangpur] *
1 [Tourism in Rangpur] *
1 [Wikimedia movement in Rangpur] *
1 [রংপুর] *
1 [Society of Rangpur]
)
= 1.4M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.125 *
( 3 [বাংলাদেশ] *
1.13 [Dhaka] *
1.11 [Bangladesh] *
1 [Barishal] *
1 [Chittagong] *
1 [Khulna] *
1 [Mymensingh] *
1 [Rajshahi] *
1 [Sylhet] *
1 [Architecture of Rangpur] *
1 [Chiklir Beel] *
1 [Public services in Rangpur] *
1 [Statues in Rangpur] *
1 [Tourism in Rangpur] *
1 [Wikimedia movement in Rangpur] *
1 [রংপুর] *
1 [Society of Rangpur]
)
= 4.22
Outbound
9
Tags on post
Inbound
8
Posts tagging this
Connections
17
Total nodes
Base Node Strength
72
Base Node Influence
1.125
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Bangladesh 35.86%Dhaka 28.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
