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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 121 [Britny Fox] *
4 [Chris Sanders] *
9 [Dean Davidson] *
64 [Greg D'Angelo] *
9 [Johnny Dee] *
1 [Michael Smerick] *
4 [Rikki Rockett] *
1 [Billy Childs (2)] *
1 [Don Jillson] *
4 [John DiTeodoro] *
1 [Michael Schermick] *
1 [Enforcer] *
25 [Cinderella (3)] *
1 [Eric Brittingham] *
25 [Fred Coury] *
4 [Jeff LaBar] *
4 [Tom Keifer]
)
= 3.61T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Britny Fox] *
1 [Chris Sanders] *
1 [Dean Davidson] *
1 [Greg D'Angelo] *
1 [Johnny Dee] *
1 [Michael Smerick] *
1 [Rikki Rockett] *
1 [Billy Childs (2)] *
1 [Don Jillson] *
1 [John DiTeodoro] *
1 [Michael Schermick] *
1 [Enforcer] *
1 [Cinderella (3)] *
1 [Eric Brittingham] *
1 [Fred Coury] *
1 [Jeff LaBar] *
1 [Tom Keifer]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
17
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Britny Fox 42.01%Greg D'Angelo 22.22%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Aug 31, 12:25 AM
Philadelphia, Philadelphia County, United States
139
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