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Buffalo Philharmonic OrchestraAlbert PratzMarc LifscheyAndrew McCandless (2)Charles ForbesStanley DruckerLinda Greene (3)Patrick WalleJonathan LombardoDmitry Gerikh

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Connected Bands/Artists

  • Amy Glidden
  • Amy Licata
  • Buffalo Philharmonic Orchestra
    Buffalo Philharmonic Orchestra band photo
  • Cecylia Arzewski
  • Charles Forbes
  • Dmitry Gerikh
  • Don Harry
  • Feng Hew
  • Fred Bretschger
  • Geoffrey Hardcastle
  • Jacek Muzyk
  • Jonathan Lombardo
  • Linda Greene (3)
  • Marc Lifschey
  • Mark Hodges (2)
  • Michael Ludwig
  • Patrick Walle

Connected Musicians

  • Albert Pratz
  • Andrew McCandless (2)
  • Stanley Drucker

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.21% of network
(4.67M)
Strength Breakdown
  • This Post (0.21%)
  • Stanley Drucker (1.90%)
  • Andrew McCandless (2) (1.90%)
  • Michael Ludwig (0.84%)
  • Amy Glidden (0.21%)
  • Amy Licata (0.21%)
  • Cecylia Arzewski (0.21%)
  • Charles Forbes (0.21%)
  • Dmitry Gerikh (0.21%)
  • Don Harry (0.21%)
  • Feng Hew (0.21%)
  • Fred Bretschger (0.21%)
  • Geoffrey Hardcastle (0.21%)
  • Jacek Muzyk (0.21%)
  • Jonathan Lombardo (0.21%)
  • Linda Greene (3) (0.21%)
  • Marc Lifschey (0.21%)
  • Mark Hodges (2) (0.21%)
  • Patrick Walle (0.21%)
Dominant nodes (excluded from chart)
Buffalo Philharmonic Orchestra 84.39%Albert Pratz 7.59%
Influence Score
i
4.76% of network
(1)
Influence Breakdown
  • This Post (4.76%)
  • Stanley Drucker (4.76%)
  • Buffalo Philharmonic Orchestra (4.76%)
  • Albert Pratz (4.76%)
  • Amy Glidden (4.76%)
  • Amy Licata (4.76%)
  • Andrew McCandless (2) (4.76%)
  • Cecylia Arzewski (4.76%)
  • Charles Forbes (4.76%)
  • Dmitry Gerikh (4.76%)
  • Don Harry (4.76%)
  • Feng Hew (4.76%)
  • Fred Bretschger (4.76%)
  • Geoffrey Hardcastle (4.76%)
  • Jacek Muzyk (4.76%)
  • Jonathan Lombardo (4.76%)
  • Linda Greene (3) (4.76%)
  • Marc Lifschey (4.76%)
  • Mark Hodges (2) (4.76%)
  • Michael Ludwig (4.76%)
  • Patrick Walle (4.76%)
Direct Connections 2

Node & Network Details

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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 9 [Stanley Drucker] *
                            400 [Buffalo Philharmonic Orchestra] *
                            36 [Albert Pratz] *
                            1 [Amy Glidden] *
                            1 [Amy Licata] *
                            9 [Andrew McCandless (2)] *
                            1 [Cecylia Arzewski] *
                            1 [Charles Forbes] *
                            1 [Dmitry Gerikh] *
                            1 [Don Harry] *
                            1 [Feng Hew] *
                            1 [Fred Bretschger] *
                            1 [Geoffrey Hardcastle] *
                            1 [Jacek Muzyk] *
                            1 [Jonathan Lombardo] *
                            1 [Linda Greene (3)] *
                            1 [Marc Lifschey] *
                            1 [Mark Hodges (2)] *
                            4 [Michael Ludwig] *
                            1 [Patrick Walle]
                           )
                         = 4.67M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Stanley Drucker] *
                            1 [Buffalo Philharmonic Orchestra] *
                            1 [Albert Pratz] *
                            1 [Amy Glidden] *
                            1 [Amy Licata] *
                            1 [Andrew McCandless (2)] *
                            1 [Cecylia Arzewski] *
                            1 [Charles Forbes] *
                            1 [Dmitry Gerikh] *
                            1 [Don Harry] *
                            1 [Feng Hew] *
                            1 [Fred Bretschger] *
                            1 [Geoffrey Hardcastle] *
                            1 [Jacek Muzyk] *
                            1 [Jonathan Lombardo] *
                            1 [Linda Greene (3)] *
                            1 [Marc Lifschey] *
                            1 [Mark Hodges (2)] *
                            1 [Michael Ludwig] *
                            1 [Patrick Walle]
                           )
                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 20 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.21% (4.67M overall)
  • This Post (0.21%)
  • Stanley Drucker (1.90%)
  • Andrew McCandless (2) (1.90%)
  • Michael Ludwig (0.84%)
  • Amy Glidden (0.21%)
  • Amy Licata (0.21%)
  • Cecylia Arzewski (0.21%)
  • Charles Forbes (0.21%)
  • Dmitry Gerikh (0.21%)
  • Don Harry (0.21%)
  • Feng Hew (0.21%)
  • Fred Bretschger (0.21%)
  • Geoffrey Hardcastle (0.21%)
  • Jacek Muzyk (0.21%)
  • Jonathan Lombardo (0.21%)
  • Linda Greene (3) (0.21%)
  • Marc Lifschey (0.21%)
  • Mark Hodges (2) (0.21%)
  • Patrick Walle (0.21%)
Dominant nodes (excluded from chart)
Buffalo Philharmonic Orchestra 84.39%Albert Pratz 7.59%
Influence Share (vs Direct Neighbours)
4.76% (1 overall)
  • This Post (4.76%)
  • Stanley Drucker (4.76%)
  • Buffalo Philharmonic Orchestra (4.76%)
  • Albert Pratz (4.76%)
  • Amy Glidden (4.76%)
  • Amy Licata (4.76%)
  • Andrew McCandless (2) (4.76%)
  • Cecylia Arzewski (4.76%)
  • Charles Forbes (4.76%)
  • Dmitry Gerikh (4.76%)
  • Don Harry (4.76%)
  • Feng Hew (4.76%)
  • Fred Bretschger (4.76%)
  • Geoffrey Hardcastle (4.76%)
  • Jacek Muzyk (4.76%)
  • Jonathan Lombardo (4.76%)
  • Linda Greene (3) (4.76%)
  • Marc Lifschey (4.76%)
  • Mark Hodges (2) (4.76%)
  • Michael Ludwig (4.76%)
  • Patrick Walle (4.76%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Stanley Drucker ↗
Str: 9Inf: 1
Buffalo Philharmonic Orchestra ↗
Str: 400Inf: 1
Albert Pratz ↗
Str: 36Inf: 1
Amy Glidden ↗
Str: 1Inf: 1
Amy Licata ↗
Str: 1Inf: 1
Andrew McCandless (2) ↗
Str: 9Inf: 1
Cecylia Arzewski ↗
Str: 1Inf: 1
Charles Forbes ↗
Str: 1Inf: 1
Dmitry Gerikh ↗
Str: 1Inf: 1
Don Harry ↗
Str: 1Inf: 1
Feng Hew ↗
Str: 1Inf: 1
Fred Bretschger ↗
Str: 1Inf: 1
Geoffrey Hardcastle ↗
Str: 1Inf: 1
Jacek Muzyk ↗
Str: 1Inf: 1
Jonathan Lombardo ↗
Str: 1Inf: 1
Linda Greene (3) ↗
Str: 1Inf: 1
Marc Lifschey ↗
Str: 1Inf: 1
Mark Hodges (2) ↗
Str: 1Inf: 1
Michael Ludwig ↗
Str: 4Inf: 1
Patrick Walle ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Patrick Walle ↗
Str: 1Inf: 1
Michael Ludwig ↗
Str: 4Inf: 1
Mark Hodges (2) ↗
Str: 1Inf: 1
Marc Lifschey ↗
Str: 1Inf: 1
Linda Greene (3) ↗
Str: 1Inf: 1
Jonathan Lombardo ↗
Str: 1Inf: 1
Jacek Muzyk ↗
Str: 1Inf: 1
Geoffrey Hardcastle ↗
Str: 1Inf: 1
Fred Bretschger ↗
Str: 1Inf: 1
Feng Hew ↗
Str: 1Inf: 1
Don Harry ↗
Str: 1Inf: 1
Dmitry Gerikh ↗
Str: 1Inf: 1
Charles Forbes ↗
Str: 1Inf: 1
Cecylia Arzewski ↗
Str: 1Inf: 1
Andrew McCandless (2) ↗
Str: 9Inf: 1
Amy Licata ↗
Str: 1Inf: 1
Amy Glidden ↗
Str: 1Inf: 1
Albert Pratz ↗
Str: 36Inf: 1
Buffalo Philharmonic Orchestra ↗
Str: 400Inf: 1
Stanley Drucker ↗
Str: 9Inf: 1

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (1)
Buffalo Philharmonic Orchestra
Inbound Posts (1)
Buffalo Philharmonic Orchestra
Last calculated: Jun 7, 3:28 PM
22

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