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, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 1 = 2
Base_Influence (IV) = $inbound / $outbound = 2 / 1 = 2
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 10 [Beirut] *
56 [Brad Boatright] *
1 [Baabda] *
1 [Baalbek] *
1 [Halba] *
1 [Nabatiye] *
1 [Sidon] *
1 [Zahleh] *
144 [Lebanon] *
9 [Kurdistan] *
4 [Middle East] *
1 [Abdallah Beyhum]
)
= 5.81M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 2.5 [Beirut] *
1.14 [Brad Boatright] *
1 [Baabda] *
1 [Baalbek] *
1 [Halba] *
1 [Nabatiye] *
1 [Sidon] *
1 [Zahleh] *
1 [Lebanon] *
1 [Kurdistan] *
1 [Middle East] *
1 [Abdallah Beyhum]
)
= 5.71
Outbound
2
Tags on post
Inbound
1
Posts tagging this
Connections
12
Total nodes
Base Node Strength
2
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Lebanon 62.07%Brad Boatright 24.14%Beirut 4.31%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Beaches of Tripoli
BROKEN LINK
