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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 132 [National Fire Agency] *
1 [2003년 3월 소방청 관련 간담회] *
1 [2004년 3월 제9회 KBS 119상 시상식] *
1 [2019년 소방청 제1회 자체평가위원회 전체회의] *
1 [2020년 소방청 로이비쥬얼 간 업무협약 체결] *
1 [Chief of Korea Fire Service] *
1 [Institution:National Fire Agency of the Republic of Korea] *
1 [소방누리 THE119] *
4 [Korea Fire Institute] *
1 [National Fire Agency of South Korea during the COVID-19 pandemic] *
1 [Special Fire Safety Survey] *
1 [2009년 4월 한국119소년단 지도교사 협의회]
)
= 2.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.09 [National Fire Agency] *
1 [2003년 3월 소방청 관련 간담회] *
1 [2004년 3월 제9회 KBS 119상 시상식] *
1 [2019년 소방청 제1회 자체평가위원회 전체회의] *
1 [2020년 소방청 로이비쥬얼 간 업무협약 체결] *
1 [Chief of Korea Fire Service] *
1 [Institution:National Fire Agency of the Republic of Korea] *
1 [소방누리 THE119] *
1 [Korea Fire Institute] *
1 [National Fire Agency of South Korea during the COVID-19 pandemic] *
1 [Special Fire Safety Survey] *
1 [2009년 4월 한국119소년단 지도교사 협의회]
)
= 1.09
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
12
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)National Fire Agency 88.00%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)