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, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 9 = 90
Base_Influence (IV) = $inbound / $outbound = 10 / 9 = 1.1111
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 90 *
( 3 [বাংলাদেশ] *
35 [ঢাকা] *
72 [Dhaka] *
72 [Rangpur] *
1 [Barishal] *
1 [Chittagong] *
1 [Khulna] *
1 [Mymensingh] *
1 [Rajshahi] *
1 [Sylhet] *
25 [Architecture of Dhaka] *
4 [Objects in Dhaka] *
4 [Public services in Dhaka] *
4 [Sports in Dhaka] *
1 [Zero Point of Dhaka] *
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] *
2 [Society of Dhaka]
)
= 156.76B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1111 *
( 3 [বাংলাদেশ] *
1.4 [ঢাকা] *
1.13 [Dhaka] *
1.13 [Rangpur] *
1 [Barishal] *
1 [Chittagong] *
1 [Khulna] *
1 [Mymensingh] *
1 [Rajshahi] *
1 [Sylhet] *
1 [Architecture of Dhaka] *
1 [Objects in Dhaka] *
1 [Public services in Dhaka] *
1 [Sports in Dhaka] *
1 [Zero Point of Dhaka] *
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] *
0.5 [Society of Dhaka]
)
= 2.95
Outbound
10
Tags on post
Inbound
9
Posts tagging this
Connections
23
Total nodes
Base Node Strength
90
Base Node Influence
1.1111
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Dhaka 22.15%Rangpur 22.15%ঢাকা 10.77%Architecture of Dhaka 7.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Society of Bangladesh
BROKEN LINK