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, 12) = 12
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 12 * 9 = 108
Base_Influence (IV) = $inbound / $outbound = 12 / 9 = 1.3333
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 108 *
( 24 [EcoHealth Alliance] *
6 [Coronavirus, Explained] *
30 [NIH] *
64 [Peter Daszak] *
1 [Marion Koopmans] *
9 [Shi Zhengli] *
4 [Wuhan Institute of Virology] *
1 [Black and white photographs of Wuhan] *
1 [County-level divisions of Wuhan] *
1 [Unidentified locations in Wuhan] *
1 [Wuhan Botanical Garden] *
1 [Wuhan in Chinese characters] *
1 [Wuhan Zall FC] *
1 [Wuhan Zoo] *
1 [武汉三镇之景] *
12 [CNN Newsroom]
)
= 12.9B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.3333 *
( 1.5 [EcoHealth Alliance] *
1.5 [Coronavirus, Explained] *
1.2 [NIH] *
1 [Peter Daszak] *
1 [Marion Koopmans] *
1 [Shi Zhengli] *
1 [Wuhan Institute of Virology] *
1 [Black and white photographs of Wuhan] *
1 [County-level divisions of Wuhan] *
1 [Unidentified locations in Wuhan] *
1 [Wuhan Botanical Garden] *
1 [Wuhan in Chinese characters] *
1 [Wuhan Zall FC] *
1 [Wuhan Zoo] *
1 [武汉三镇之景] *
0.75 [CNN Newsroom]
)
= 2.7
Outbound
12
Tags on post
Inbound
9
Posts tagging this
Connections
16
Total nodes
Base Node Strength
108
Base Node Influence
1.3333
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Peter Daszak 24.06%NIH 11.28%EcoHealth Alliance 9.02%CNN Newsroom 4.51%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Gardens and parks in Wuhan
BROKEN LINKSigns in Wuhan
BROKEN LINKVisitor attractions in Wuhan
BROKEN LINK