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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 25 [John Travolta] *
36 [Robert Costanzo] *
324 [Saturday Night Fever] *
9 [Fran Drescher] *
4 [Barry Miller] *
4 [Julie Bovasso] *
4 [Bert Michaels] *
1 [Bruce Ornstein] *
1 [Donna Pescow] *
16 [Joseph Cali] *
1 [Karen Lynn Gorney] *
4 [Lisa Peluso] *
1 [Martin Shakar] *
1 [Nina Hansen] *
1 [Paul Pape] *
1 [Robert Weil] *
1 [Sam Coppola] *
1 [Shelly Batt]
)
= 10.75B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [John Travolta] *
1 [Robert Costanzo] *
1 [Saturday Night Fever] *
1 [Fran Drescher] *
1 [Barry Miller] *
1 [Julie Bovasso] *
1 [Bert Michaels] *
1 [Bruce Ornstein] *
1 [Donna Pescow] *
1 [Joseph Cali] *
1 [Karen Lynn Gorney] *
1 [Lisa Peluso] *
1 [Martin Shakar] *
1 [Nina Hansen] *
1 [Paul Pape] *
1 [Robert Weil] *
1 [Sam Coppola] *
1 [Shelly Batt]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Saturday Night Fever 74.31%Robert Costanzo 8.26%John Travolta 5.73%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)