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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 1 [James Winn] *
16 [Donald Palma] *
4 [Eric Bartlett] *
361 [Speculum Musicae] *
1 [Aleck Karis] *
1 [Allen Blustine] *
9 [Benjamin Hudson] *
1 [Carol Zeavin] *
1 [Curtis Macomber] *
1 [Daniel Druckman] *
1 [Dennis James (11)] *
1 [Donald MacCourt] *
1 [James Baker (4)] *
1 [John Graham (2)] *
1 [John Moses] *
1 [Jonathan Taylor (3)] *
1 [Joseph Passaro] *
1 [Lois Martin] *
1 [Marji Danilow]
)
= 207.9K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [James Winn] *
1 [Donald Palma] *
1 [Eric Bartlett] *
1 [Speculum Musicae] *
1 [Aleck Karis] *
1 [Allen Blustine] *
1 [Benjamin Hudson] *
1 [Carol Zeavin] *
1 [Curtis Macomber] *
1 [Daniel Druckman] *
1 [Dennis James (11)] *
1 [Donald MacCourt] *
1 [James Baker (4)] *
1 [John Graham (2)] *
1 [John Moses] *
1 [Jonathan Taylor (3)] *
1 [Joseph Passaro] *
1 [Lois Martin] *
1 [Marji Danilow]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Speculum Musicae 88.92%Donald Palma 3.94%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)