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, 7) = 7
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 12 [brown university] *
64 [Feedbomb] *
4 [Randi Zuckerberg] *
1 [Johnson Robert] *
1 [Sean Chaffin] *
4 [Eric Zamore] *
16 [Pete Hunt] *
100 [Coverflow] *
36 [Alison Murdock] *
1 [Ebersman David] *
1 [lyra health] *
1 [SurveyMonkey] *
1 [Genentech] *
1 [Castlight Health] *
1 [Brown University academics]
)
= 34.68B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 3 [brown university] *
1 [Feedbomb] *
1 [Randi Zuckerberg] *
1 [Johnson Robert] *
1 [Sean Chaffin] *
1 [Eric Zamore] *
1 [Pete Hunt] *
1 [Coverflow] *
1 [Alison Murdock] *
1 [Ebersman David] *
1 [lyra health] *
1 [SurveyMonkey] *
1 [Genentech] *
1 [Castlight Health] *
1 [Brown University academics]
)
= 3
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
15
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Coverflow 34.13%Feedbomb 21.84%Alison Murdock 12.29%Pete Hunt 5.46%brown university 4.10%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)