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, 13) = 13
$outbound = max(1, 13) = 13
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 13 = 169
Base_Influence (IV) = $inbound / $outbound = 13 / 13 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 169 *
( 1 [2015년 9월 강원도 춘천시] *
1 [Bridges in Chuncheon] *
1 [Cheongpyeongsa] *
1 [Chuncheon Munhwa Broadcasting Corporation] *
1 [Cityscapes of Chuncheon] *
1 [Companies in Chuncheon] *
1 [Gangchon] *
1 [Namiseom] *
1 [Roads in Chuncheon] *
1 [Soyang Dam] *
1 [Stores in Chuncheon] *
1 [Train stations in Chuncheon] *
1 [Visitor attractions in Chuncheon]
)
= 169
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [2015년 9월 강원도 춘천시] *
1 [Bridges in Chuncheon] *
1 [Cheongpyeongsa] *
1 [Chuncheon Munhwa Broadcasting Corporation] *
1 [Cityscapes of Chuncheon] *
1 [Companies in Chuncheon] *
1 [Gangchon] *
1 [Namiseom] *
1 [Roads in Chuncheon] *
1 [Soyang Dam] *
1 [Stores in Chuncheon] *
1 [Train stations in Chuncheon] *
1 [Visitor attractions in Chuncheon]
)
= 1
Outbound
13
Tags on post
Inbound
13
Posts tagging this
Connections
13
Total nodes
Base Node Strength
169
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
