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 *
( 36 [Gloria Gaynor] *
361 [The Trammps] *
1 [Harold "Doc" Wade] *
1 [Robert Upchurch] *
1 [Stanley Wade] *
9 [Dennis Harris] *
1 [Ed Cermanski] *
4 [Fred Joiner] *
1 [Harold Wade] *
1 [Harold Watkins] *
1 [Jimmy Ellis (2)] *
1 [Jimmy Williams] *
4 [John Davis (63)] *
1 [John Hart (9)] *
1 [Michael Thompson (26)] *
1 [Priestly Williams] *
1 [Reuben Henderson] *
1 [Roger Stevens] *
9 [Ron Kersey]
)
= 16.84M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Gloria Gaynor] *
1 [The Trammps] *
1 [Harold "Doc" Wade] *
1 [Robert Upchurch] *
1 [Stanley Wade] *
1 [Dennis Harris] *
1 [Ed Cermanski] *
1 [Fred Joiner] *
1 [Harold Wade] *
1 [Harold Watkins] *
1 [Jimmy Ellis (2)] *
1 [Jimmy Williams] *
1 [John Davis (63)] *
1 [John Hart (9)] *
1 [Michael Thompson (26)] *
1 [Priestly Williams] *
1 [Reuben Henderson] *
1 [Roger Stevens] *
1 [Ron Kersey]
)
= 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)The Trammps 82.61%Gloria Gaynor 8.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)