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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 24 [Colby College] *
1 [Lockwood Mill] *
1 [Waterville Main Street Historic District] *
1 [Waterville Opera House and City Hall] *
16 [Sanborn Fire Insurance Map from Waterville, Kennebec County, Maine] *
1 [Andrew Rice] *
36 [Colby College Museum of Art] *
1 [James Tift Champlin] *
1 [Maine] *
9 [Kennebec County] *
1 [Sanborn Fire Insurance Map from Waterville]
)
= 3.11M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Colby College] *
1 [Lockwood Mill] *
1 [Waterville Main Street Historic District] *
1 [Waterville Opera House and City Hall] *
1 [Sanborn Fire Insurance Map from Waterville, Kennebec County, Maine] *
1 [Andrew Rice] *
1 [Colby College Museum of Art] *
1 [James Tift Champlin] *
1 [Maine] *
1 [Kennebec County] *
1 [Sanborn Fire Insurance Map from Waterville]
)
= 1.5
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
11
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Colby College Museum of Art 30.77%Colby College 20.51%Sanborn Fire Insurance Map from Waterville, Kennebec County, Maine 13.68%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
