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, 4) = 4
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 9 = 36
Base_Influence (IV) = $inbound / $outbound = 4 / 9 = 0.4444
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 6 [2017 Policy Address by the Chief Executive, HKSAR] *
6 [2018 Policy Address by the Chief Executive, HKSAR] *
6 [2020 Policy Address by the Chief Executive, HKSAR] *
1 [Carrie Lam and Alex Salmond] *
1 [Carrie Lam Cabinet] *
1 [ITV Weekend News] *
1 [China's Rebel City: The Hong Kong Protests] *
1 [Paris, 13th District] *
1 [Umbrella Revolution: History as Mirror Reflection]
)
= 7.8K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.4444 *
( 1.5 [2017 Policy Address by the Chief Executive, HKSAR] *
1.5 [2018 Policy Address by the Chief Executive, HKSAR] *
1.5 [2020 Policy Address by the Chief Executive, HKSAR] *
1 [Carrie Lam and Alex Salmond] *
1 [Carrie Lam Cabinet] *
1 [ITV Weekend News] *
1 [China's Rebel City: The Hong Kong Protests] *
1 [Paris, 13th District] *
1 [Umbrella Revolution: History as Mirror Reflection]
)
= 1.5
Outbound
4
Tags on post
Inbound
9
Posts tagging this
Connections
9
Total nodes
Base Node Strength
36
Base Node Influence
0.4444
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)