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, 10) = 10
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 9 = 90
Base_Influence (IV) = $inbound / $outbound = 10 / 9 = 1.1111
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 90 *
( 25 [Germantown Campus] *
4 [Montgomery County Vaccination Site] *
4 [Sanjay Rai] *
1 [Bliss Electrical School] *
4 [Montgomery College, Rockville Campus] *
4 [Montgomery College, Takoma Park/Silver Spring Campus] *
1 [Presidents of Montgomery College] *
4 [Takoma Park/Silver Spring Campus] *
4 [Rockville Campus] *
4 [Road signs for Montgomery College, Germantown Campus] *
4 [Road signs for Montgomery College]
)
= 147.46M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1111 *
( 1 [Germantown Campus] *
1 [Montgomery County Vaccination Site] *
1 [Sanjay Rai] *
1 [Bliss Electrical School] *
1 [Montgomery College, Rockville Campus] *
1 [Montgomery College, Takoma Park/Silver Spring Campus] *
1 [Presidents of Montgomery College] *
1 [Takoma Park/Silver Spring Campus] *
1 [Rockville Campus] *
1 [Road signs for Montgomery College, Germantown Campus] *
1 [Road signs for Montgomery College]
)
= 1.11
Outbound
10
Tags on post
Inbound
9
Posts tagging this
Connections
11
Total nodes
Base Node Strength
90
Base Node Influence
1.1111
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Montgomery College, Germantown Campus
BROKEN LINK