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 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 1 [Joel Fluellen] *
9 [Sidney Poitier] *
9 [Ruby Dee] *
289 [A Raisin in the Sun] *
1 [Bob Sweeney] *
25 [David Susskind] *
16 [George DeNormand] *
25 [Ivan Dixon] *
36 [John Fiedler] *
4 [Louis Gossett Jr.] *
1 [Louis Terrel] *
16 [Ray Stubbs] *
1 [Roy Glenn] *
1 [Rudolph Monroe] *
1 [Steven Perry] *
1 [Thomas D. Jones] *
16 [Joyce Randolph] *
25 [Harold J. Stone] *
9 [The Doctors and the Nurses] *
4 [The DuPont Show of the Month] *
1 [Black Girl] *
16 [Beulah Garrick] *
20 [Diana Sands]
)
= 3.98 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Joel Fluellen] *
1 [Sidney Poitier] *
1 [Ruby Dee] *
1 [A Raisin in the Sun] *
1 [Bob Sweeney] *
1 [David Susskind] *
1 [George DeNormand] *
1 [Ivan Dixon] *
1 [John Fiedler] *
1 [Louis Gossett Jr.] *
1 [Louis Terrel] *
1 [Ray Stubbs] *
1 [Roy Glenn] *
1 [Rudolph Monroe] *
1 [Steven Perry] *
1 [Thomas D. Jones] *
1 [Joyce Randolph] *
1 [Harold J. Stone] *
1 [The Doctors and the Nurses] *
1 [The DuPont Show of the Month] *
1 [Black Girl] *
1 [Beulah Garrick] *
0.8 [Diana Sands]
)
= 0.8
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
23
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.95%
(3.98 × 1019 overall)
Dominant nodes (excluded from chart)A Raisin in the Sun 53.22%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)