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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 60 [Ninja] *
256 [The Go! Team] *
121 [Tobi Vail] *
1 [Adam Gough] *
1 [Cheryl Pinero] *
1 [Ian Parton] *
1 [Sam Dook] *
1 [Adam Hutchison] *
1 [Angela Won Yin Mak] *
1 [Chi Fukami Taylor] *
1 [Jamie Bell (2)] *
1 [Kaori Tsuchida] *
1 [Niadzi Muzira] *
1 [Nkechi Ka Egenamba] *
1 [Silke Steidinger] *
1 [Viva Msimang]
)
= 1.86M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.67 [Ninja] *
1 [The Go! Team] *
1 [Tobi Vail] *
1 [Adam Gough] *
1 [Cheryl Pinero] *
1 [Ian Parton] *
1 [Sam Dook] *
1 [Adam Hutchison] *
1 [Angela Won Yin Mak] *
1 [Chi Fukami Taylor] *
1 [Jamie Bell (2)] *
1 [Kaori Tsuchida] *
1 [Niadzi Muzira] *
1 [Nkechi Ka Egenamba] *
1 [Silke Steidinger] *
1 [Viva Msimang]
)
= 1.67
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Go! Team 56.76%Tobi Vail 26.83%Ninja 13.30%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)