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 36 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 90 *
( 2 [Tuli Block] *
676 [Botswana] *
1 [Chobe District] *
1 [FrancistownCity] *
1 [GaboroneCity] *
1 [Ghanzi District] *
1 [JwanengTown] *
4 [Kgalagadi District] *
1 [Kgatleng District] *
9 [Kweneng District] *
1 [LobatseTown] *
1 [Ngamiland District] *
1 [North-East District] *
1 [OrapaTown] *
1 [Selebi-PhikweTown] *
1 [South-East District] *
1 [Southern District] *
1 [SowaTownship] *
1 [Botswana by media type] *
1 [Diamond Trading Company Botswana] *
1 [Ecology in Botswana] *
1 [Gallery pages of Botswana] *
1 [Objects in Botswana] *
1 [PD-Botswana] *
1 [Places in Botswana] *
1 [Society of Botswana] *
1 [Unidentified locations in Botswana] *
1 [Gweta] *
1 [Kalamare] *
1 [Makomoto Lands] *
1 [Mathangwane] *
1 [Palapye] *
1 [Serowe] *
1 [Shoshong] *
1 [Botswana International University of Science and Technology] *
2 [Mahalapye]
)
= 8.76M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1111 *
( 2 [Tuli Block] *
1 [Botswana] *
1 [Chobe District] *
1 [FrancistownCity] *
1 [GaboroneCity] *
1 [Ghanzi District] *
1 [JwanengTown] *
1 [Kgalagadi District] *
1 [Kgatleng District] *
1 [Kweneng District] *
1 [LobatseTown] *
1 [Ngamiland District] *
1 [North-East District] *
1 [OrapaTown] *
1 [Selebi-PhikweTown] *
1 [South-East District] *
1 [Southern District] *
1 [SowaTownship] *
1 [Botswana by media type] *
1 [Diamond Trading Company Botswana] *
1 [Ecology in Botswana] *
1 [Gallery pages of Botswana] *
1 [Objects in Botswana] *
1 [PD-Botswana] *
1 [Places in Botswana] *
1 [Society of Botswana] *
1 [Unidentified locations in Botswana] *
1 [Gweta] *
1 [Kalamare] *
1 [Makomoto Lands] *
1 [Mathangwane] *
1 [Palapye] *
1 [Serowe] *
1 [Shoshong] *
1 [Botswana International University of Science and Technology] *
0.5 [Mahalapye]
)
= 1.11
Outbound
10
Tags on post
Inbound
9
Posts tagging this
Connections
36
Total nodes
Base Node Strength
90
Base Node Influence
1.1111
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Botswana 83.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
