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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 72 [Twitter] *
64 [Feedbomb] *
1 [Johnson Robert] *
49 [David Ebersman] *
1 [Sean Chaffin] *
4 [Eric Zamore] *
100 [Coverflow] *
36 [Alison Murdock] *
9 [South Hero] *
1 [jeff weiland] *
1 [smyte] *
16 [Jack Dorsey] *
1 [Biz Stone] *
1 [Bret Taylor] *
1 [Evan Williams] *
1 [Ned Segal] *
1 [Noah Glass] *
1 [Parag Agrawal] *
2 [Randi Zuckerberg]
)
= 14.98T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.13 [Twitter] *
1 [Feedbomb] *
1 [Johnson Robert] *
1 [David Ebersman] *
1 [Sean Chaffin] *
1 [Eric Zamore] *
1 [Coverflow] *
1 [Alison Murdock] *
1 [South Hero] *
1 [jeff weiland] *
1 [smyte] *
1 [Jack Dorsey] *
1 [Biz Stone] *
1 [Bret Taylor] *
1 [Evan Williams] *
1 [Ned Segal] *
1 [Noah Glass] *
1 [Parag Agrawal] *
0.5 [Randi Zuckerberg]
)
= 0.5625
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
19
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Coverflow 26.46%Twitter 19.05%Feedbomb 16.93%David Ebersman 12.96%Alison Murdock 9.52%Jack Dorsey 4.23%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
