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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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 6 [That Dog] *
1 [Courtney Marie Andrews] *
4 [Jim Adkins] *
1 [Mitch Porter] *
4 [Rick Burch] *
1 [Tom Linton] *
1 [Zach Lind] *
1 [Mitchel Porter] *
1 [Jimmy Eat World - Rock im Park 2018] *
1 [Jimmy Eat World - Taubertal-Festival 2014] *
1 [Carrier (2)] *
729 [The Rentals] *
1 [bLUSH (38)] *
4 [Salamander (24)] *
1 [Wet Lab] *
30 [Rachel Haden] *
30 [that dog.]
)
= 25.19B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 6 [That Dog] *
1 [Courtney Marie Andrews] *
1 [Jim Adkins] *
1 [Mitch Porter] *
1 [Rick Burch] *
1 [Tom Linton] *
1 [Zach Lind] *
1 [Mitchel Porter] *
1 [Jimmy Eat World - Rock im Park 2018] *
1 [Jimmy Eat World - Taubertal-Festival 2014] *
1 [Carrier (2)] *
1 [The Rentals] *
1 [bLUSH (38)] *
1 [Salamander (24)] *
1 [Wet Lab] *
0.8333 [Rachel Haden] *
0.8333 [that dog.]
)
= 4.17
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Connections
17
Total nodes
Base Node Strength
100
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Rentals 79.50%Rachel Haden 3.27%that dog. 3.27%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Sep 14, 3:04 PM
Mesa, Maricopa County, United States
48
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