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 *
( 4 [Dana Delany] *
9 [Michael J. Reynolds] *
49 [Jeff Daniels] *
81 [Anna Paquin] *
4 [Ken James] *
9 [Holter Graham] *
16 [Terry Kinney] *
324 [Fly Away Home] *
1 [Carmen Lishman] *
4 [Chris Benson] *
1 [Christi Hill] *
1 [David Hemblen] *
1 [Deborah Verginella] *
1 [Jeremy Ratchford] *
1 [John Friesen] *
1 [Judith Orban] *
1 [Nora Ballard] *
1 [Sarena Paton]
)
= 106.66B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dana Delany] *
1 [Michael J. Reynolds] *
1 [Jeff Daniels] *
1 [Anna Paquin] *
1 [Ken James] *
1 [Holter Graham] *
1 [Terry Kinney] *
1 [Fly Away Home] *
1 [Carmen Lishman] *
1 [Chris Benson] *
1 [Christi Hill] *
1 [David Hemblen] *
1 [Deborah Verginella] *
1 [Jeremy Ratchford] *
1 [John Friesen] *
1 [Judith Orban] *
1 [Nora Ballard] *
1 [Sarena Paton]
)
= 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)Fly Away Home 63.53%Anna Paquin 15.88%Jeff Daniels 9.61%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)