Analyzing Network Connections...
Network Profile
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, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1
// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 1 [D:Combe] *
1 [Grismannen] *
25 [Peter Andersson] *
1 [Rising] *
1 [raison d'être] *
1 [Christer "Frizzy" Ericsson] *
1 [Joakim Lindholm] *
1 [Jonas Tallberg] *
1 [Bettina France] *
1 [Diane Keyser] *
1 [Marlene Apuzzo] *
1 [Martens Pace] *
1 [Rena Sands] *
1 [Yael Devan]
)
= 2.5K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [D:Combe] *
1 [Grismannen] *
1 [Peter Andersson] *
1 [Rising] *
1 [raison d'être] *
1 [Christer "Frizzy" Ericsson] *
1 [Joakim Lindholm] *
1 [Jonas Tallberg] *
1 [Bettina France] *
1 [Diane Keyser] *
1 [Marlene Apuzzo] *
1 [Martens Pace] *
1 [Rena Sands] *
1 [Yael Devan]
)
= 1
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Connections
14
Total nodes
Base Node Strength
100
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Peter Andersson 18.12%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 14, 5:07 PM
Östergötland County, Sweden
27
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