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, 17) = 17
$outbound = max(1, 17) = 17
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 17 * 17 = 289
Base_Influence (IV) = $inbound / $outbound = 17 / 17 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 289 *
( 1 [2012 BNP Paribas Open] *
1 [2013 BNP Paribas Open] *
1 [2013 BNP Paribas Showdown] *
1 [BNP Paribas Headquarters] *
1 [BNP Paribas in Geneva] *
1 [BNP Paribas in Hong Kong] *
1 [Cetelem] *
1 [DAB Bank] *
1 [Edmond Joubert] *
1 [Orient Commercial Joint Stock Bank] *
1 [Senckenberg-Turm] *
1 [UkrSibbank] *
1 [Banque Française pour le Commerce et l'Industrie] *
1 [BNP Paribas, Algeria] *
1 [BNP Paribas, Bulgaria] *
1 [Hôtel de Mondragon] *
1 [Hello bank!]
)
= 289
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [2012 BNP Paribas Open] *
1 [2013 BNP Paribas Open] *
1 [2013 BNP Paribas Showdown] *
1 [BNP Paribas Headquarters] *
1 [BNP Paribas in Geneva] *
1 [BNP Paribas in Hong Kong] *
1 [Cetelem] *
1 [DAB Bank] *
1 [Edmond Joubert] *
1 [Orient Commercial Joint Stock Bank] *
1 [Senckenberg-Turm] *
1 [UkrSibbank] *
1 [Banque Française pour le Commerce et l'Industrie] *
1 [BNP Paribas, Algeria] *
1 [BNP Paribas, Bulgaria] *
1 [Hôtel de Mondragon] *
1 [Hello bank!]
)
= 1
Outbound
17
Tags on post
Inbound
17
Posts tagging this
Connections
17
Total nodes
Base Node Strength
289
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)