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, 13) = 13
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 10 = 130
Base_Influence (IV) = $inbound / $outbound = 13 / 10 = 1.3
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 130 *
( 342 [university-of-oregon] *
4 [City Farm, Perth] *
1 [City Farmer] *
1 [City farms in Canada] *
1 [Galaxens stadslantgård] *
1 [Kelsey Creek Farm] *
1 [Oliver Community Farm] *
1 [Quinta da Granja] *
4 [Urban farms in Buffalo, New York] *
1 [Ziegenhof] *
1 [Urban farms in Buffalo] *
1 [City Farm]
)
= 711.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.3 *
( 1.06 [university-of-oregon] *
1 [City Farm, Perth] *
1 [City Farmer] *
1 [City farms in Canada] *
1 [Galaxens stadslantgård] *
1 [Kelsey Creek Farm] *
1 [Oliver Community Farm] *
1 [Quinta da Granja] *
1 [Urban farms in Buffalo, New York] *
1 [Ziegenhof] *
1 [Urban farms in Buffalo] *
1 [City Farm]
)
= 1.37
Outbound
13
Tags on post
Inbound
10
Posts tagging this
Connections
12
Total nodes
Base Node Strength
130
Base Node Influence
1.3
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)university-of-oregon 69.94%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
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BROKEN LINK