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 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 225 [Si Satchanalai Historical Park] *
1 [Wat Chao Chan] *
1 [Wat Chedi Chet Thaeo] *
1 [Wat Chom Chuen] *
1 [Wat Chom Chuen Excavation Hole Conservation Building] *
1 [Wat Khao Suwan Kiri] *
1 [Wat Khao Suwankhiri] *
1 [Wat Kok Singha Ram] *
1 [Wat Nang Phaya] *
1 [Wat Suan Kaeo Utthayan Yal] *
1 [Wat Khao Phanom Ploeng, Si Satchanalai] *
1 [Wat Lak Mueang, Si Satchanalai] *
1 [Wat Phra Si Rattana Mahathat, Si Satchanalai] *
1 [Wat Suan Kaeo Uthayan Noi, Sukhothai] *
1 [Wat Thung Setthi, Si Satchanalai]
)
= 225
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Si Satchanalai Historical Park] *
1 [Wat Chao Chan] *
1 [Wat Chedi Chet Thaeo] *
1 [Wat Chom Chuen] *
1 [Wat Chom Chuen Excavation Hole Conservation Building] *
1 [Wat Khao Suwan Kiri] *
1 [Wat Khao Suwankhiri] *
1 [Wat Kok Singha Ram] *
1 [Wat Nang Phaya] *
1 [Wat Suan Kaeo Utthayan Yal] *
1 [Wat Khao Phanom Ploeng, Si Satchanalai] *
1 [Wat Lak Mueang, Si Satchanalai] *
1 [Wat Phra Si Rattana Mahathat, Si Satchanalai] *
1 [Wat Suan Kaeo Uthayan Noi, Sukhothai] *
1 [Wat Thung Setthi, Si Satchanalai]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
15
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Si Satchanalai Historical Park 93.75%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)