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, 5) = 5
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 2 = 10
Base_Influence (IV) = $inbound / $outbound = 5 / 2 = 2.5
// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 10 *
( 2 [Tripoli] *
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] *
1 [Port of Beirut] *
1 [Construction in Beirut]
)
= 5.81M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2.5 *
( 2 [Tripoli] *
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] *
1 [Port of Beirut] *
1 [Construction in Beirut]
)
= 5.71
Outbound
5
Tags on post
Inbound
2
Posts tagging this
Connections
14
Total nodes
Base Node Strength
10
Base Node Influence
2.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Lebanon 61.54%Brad Boatright 23.93%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Architecture of Beirut
BROKEN LINKObjects in Beirut
BROKEN LINK
