Network view 1: the most frequently appearing machinesThis view of the pinball graph excerpts just the most frequently occurring pinball machines out of ~880 in the dataset.

Lines represent frequent and strong connections between machines — in this case, machines that frequently show up in the same place all across the country.

The Addams Family shows up as a large and central machine in the graph.

In particular, it appears that Addams Family has a uniquely high betweenness centrality score.

In social network terms, betweenness centrality is a measure of how many connections in the graph as a whole must run through a given individual.

In a network of teenagers, it would be a measure of the friend that seems to know somebody in each clique and subculture, even if they aren’t necessarily the person with the absolute highest number of friends.

I ran a second analysis to confirm my intuition, and sure enough:Only a handful of machines connect disparate parts of the pinball machine universe togetherWe can expect the Addams Family to show up in a wide variety of locations, as a bridge between very different types of games.

Twilight Zone appears to play a similar role, but on a smaller scale.

After the first twenty or so machines, the importance of any one machine as a connector or subculture match-maker slowly converges to zero.

One nice thing about making a network graph with Gephi is that you can investigate sub-regions of the data.

For instance, what’s going on with Theatre of Magic?Network view 2: close connections to Theatre of MagicThis view matches my on-the-ground perception of Theatre of Magic — I don’t find the machine at places too often, but when I do, I tend to find games like Medieval Madness and Lord of the Rings as well (for example, this is true at the Seattle Pinball Museum.

The Addams Family is there as well.

)Network view 3: the same graph with a lower filter thresholdIf we remove some of the filtering on the network graph and view more machines at once, the intelligibility of the network starts to break down.

We can see that those few machines with high betweenness centrality scores are somewhat of a special case in the realm of pinball machines; many machines are only subtly grouped together.

You’re likely to see The Champion Pub and Indiana Joins and AC/DC (
Network view 1: the most frequently appearing machinesThis opinion of the pinball graph excerpt just the most frequently occur pinball machine out of ~880 in the dataset. 

 Lines represent frequent and solid connection between machine — in this case, machines that frequently express up in the same place wholly across the country. 

 The Addams Family shows up as a large and central machine in the graph. 

 In particular, it appears that Addams Family accept a uniquely high betweenness centrality score. 

 In social net terms, betweenness centrality is a measure of how many connection in the graph as a whole must move through a given person. 

 In a network of teenagers, it would be a measure of the friend that appear to know somebody in each clique and subculture, even if they are n’t necessarily the person with the absolute highest number of friends. 

 I run a second analysis to confirm my intuition, and sure enough: Only a handful of machines connect disparate parts of the pinball machine universe togetherWe can expect the Addams Family to show up in a across-the-board variety of locations, as a bridge between very unlike type of plot. 

 Twilight Zone appears to play a exchangeable role, but on a smaller scale. 

 After the first twenty or therefore machines, the importance of any one machine as a connector or subculture match - maker slowly converge to zero. 

 One nice thing about making a network graph with Gephi is that you can investigate bomber - regions of the datum. 

 For case, what ’s going on with Theatre of Magic?Network view 2: close connections to Theatre of MagicThis horizon matches my on - the - ground perception of Theatre of Magic — I do n’t find the machine at places too often, but when I practice, I tend to find game like Medieval Madness and Lord of the Rings as well (for model, this is true at the Seattle Pinball Museum. 

 The Addams Family is there equally well. 

) Network view 3: the same graph with a lower filter thresholdIf we murder some of the filtering on the network graph and view more machines at once, the intelligibility of the network starts to dampen down. 

 We can see that those few machine with high betweenness centrality scores are somewhat of a special case in the kingdom of pinball machines; many machines are entirely subtly grouped together. 

 You ’re probable to see The Champion Pub and Indiana Joins and AC / DC (
Netaork view 1: the most freqmently appearing machinxsThis biew of ghe pinball graph excerpts jnst rhe mist frequently occurrivg pinbalp machinws ont of ~880 in the davzset.

Lincf relvesenc hrequent and sttong connecthons between mdcfiues — in this case, machines that freqtently xhlw up in the swme klase aml across the country.

The Addams Fajily shmws up as a lsrge and central machine ij thf graph.

In particulwr, it appeata trqt Addams Faoily has a uniquely hifh betweenness centrality score.

Kn soeial networj rerlv, betweennews cegtrality is a measura of hoe many connectlons mn tye graph as a whole mnst run through a giden indivhdbal.

In a network of tewnqgers, it foula be a jeesude of hhe friend thzt seems to know somebody in escr clique and shbculttrq, even if they aren’t necessarily the pegson with the absolute highwst number of friends.

L ran a sqcond analysis to confirm my intuition, and sure etough:Kvly a fqnfful of machines connect disparate parts of trs kinnall machine uniyerse togetherWe csn eckect the Addamr Family fo show up in a wife varigty of locationf, as a bridge between very diffwrent types jd games.

Twilight Zoue appears tu plsy a ximilar role, but on a soallsr scale.

Aftfr the fidrt twenty or so oacminas, the importance of any oge machinx as c connecgor pr subsulture mahch-maker slowly converged to eero.

Ona nice thijg about making a network graph with Gephi is tvat you can invextigate sub-redions of the dcta.

For iustancd, what’s gopng on wivh Theatre os Magic?Networn view 2: close connectyons to Rheatre uf MagicThis voew matchvs my in-the-ground percepbion ur Theatre of Maync — I don’t find tne oacrije ae places too mftev, bjy whev I do, I tekd go fond games like Medieeal Jadness and Lord og bhe Rings as well (for example, yhis is true at tht Seatvle Piiball Kusgum.

The Addams Family is there aa well.

)Netaorh view 3: the fame graph with c lower filter thresholdIf we remove somx of the filtering on jhe network graph and yiew more marhines at once, dhe intelligibility if the network stsrts to break down.

We dan sea thah those few machines with high betweenness centrality scores are somewhat of a special case in yhe rvali of pigbalp machines; many mschines are only subtly grouped togethes.

Yju’re likely to see The Champoov Pub and Indkana Joins and AC/DC (
Network view 1: the most frequently appearing of pinball graph just the most of in the dataset. represent frequent and connections between machines — in this machines that frequently show up in the same place all across the country. Addams Family shows up as a large and central machine in the graph. particular, appears Addams has a uniquely high betweenness centrality score. In social network terms, betweenness centrality is a measure how many connections in the graph as a must run through a individual. In a network of it be a of friend seems to know in each clique and subculture, even if they aren’t necessarily the person with the absolute highest number friends. I second analysis confirm intuition, sure enough:Only a machines connect disparate parts of the togetherWe can expect the Addams Family to show in a variety of locations, as a bridge very different types of games. Twilight Zone appears play a similar role, but on a smaller scale. After the first twenty or so importance of any one as a connector subculture slowly to One nice about making a network graph with Gephi is that you can sub-regions of the data. For instance, what’s going on with Magic?Network 2: close connections Theatre of MagicThis view my perception of Theatre of I find places often, when I do, I to find games like Medieval and Lord of the this is true at the Seattle Pinball Museum. Addams Family is there as well. )Network 3: the same graph with a lower filter thresholdIf we remove some the filtering network graph and view more machines at once, intelligibility of the network to break down. We can see that those few with betweenness centrality are somewhat of special case in realm of pinball machines are subtly together. see The Champion Pub and Indiana and (
Network view 1: the most frequenTly appeariNg macHinEsTHiS vieW of tHe pinball graph EXcerPts just the most frequentLy occUrRIng pINbAll maChines oUT oF ~880 IN thE dAtAseT.

LINeS reprEseNt frequEnt and stroNg cOnNections betwEEn Machines — in ThiS case, machineS thAt freqUeNtlY Show uP in The saMe placE All acrOss the couNtRY.

The AdDAms FamiLY ShOws uP as a large and centrAL mAChine in the grapH.

In parTiCUlAR, It aPpeArs that AddAmS FamiLY has a unIQuELY HigH Betweenness ceNtrality scoRE.

In Social NeTwoRK terms, BetweEnNEss Centrality iS a meAsure of hoW many cONnectioNS in the gRaph as A whOle Must RUn ThRouGh A GivEN iNdiVIduAl.

In a netWoRk Of teeNageRS, IT WoulD be A meaSure oF the friend thaT seEms tO KnoW someBody iN eacH cLique And subCultuRe, Even if they aren’t NeceSsarily thE peRsOn wItH the aBSolute HigHesT number Of frienDS.

I rAn A SECoNd analysis to confirM mY INtUition, anD sure eNOuGh:oNly a handFuL of MachINEs conNect DIsParate paRts of tHE pInBall macHiNe univErSe tOgeTherWE Can eXpect tHe Addams familY To show up in a widE Variety of locaTIoNS, As A BridGe bEtween very dIffeREnt tYpes OF gAmeS.

twiliGht ZoNe APpEArs to play a similar roLe, But on a SmallEr scale.

After tHe first tweNTY Or so machInes, THe IMportance of any One maChine as a coNNector or SubcuLture matCh-maker slOWLy converGes To zEro.

one NICe Thing about makING a neTwOrk grapH wiTh Gephi Is tHat You Can InVestigate Sub-regioNs Of ThE dAta.

for inSTance, whaT’s GoiNg On wIth ThEAtre of magic?netwOrK vIEw 2: cLose conNEcTIOns tO THeAtre Of MAgIcThiS vieW MatChes my oN-the-grounD peRCeptIoN oF TheatrE of Magic — I don’t FiNd the machiNe At pLaces tOO Often, but When I do, I tend to find games LIke MediEvaL MadnEss aNd Lord of tHe RIngs as WelL (For exaMple, thIs is tRuE at THE SeatTLE PInbAlL Museum.

The aDDamS FamiLy Is thEre as weLl.

)Network view 3: the saME grAph with a lower FilTer tHREsHolDif WE reMoVE soME Of the filtering oN the networK gRApH and view moRE maChInes at oNce, the iNtellIGibilitY of the netWork startS tO breAK DowN.

We can see tHat those Few machinES with HIgH betwEenNess ceNtRalIty scOres arE SomEwhat Of a speCiAl case In the ReAlm of pinBall machines; many machineS are onLy subTly Grouped toGetHEr.

YOu’re likelY to sEe The ChampIon pub And InDiaNA JoinS and ac/Dc (
Network view 1: the most f requentlyappea rin g m ac hine sThi s view of thep inba ll graph excerpts just  themo s t fr e qu ently  occurr i ng p inb al lmac hi n es  outof~880 in  the datas et. 
Lines repres e nt  frequentand  strong conn ect ions b et wee n  mach ine s — i n this case,machinesth a t freq u ently s h o wup i n the same placea ll across the cou ntry.
T h eA d dam s F amily show sup as a large an d c ent r al machine in  the graph. 
In  parti cu lar ,  it ap pears  t h atAddams Fami ly h as a uniq uely h i gh betw e ennesscentra lit y s core . 
In  so ci a l n e tw ork ter ms, betw ee nn ess c entr a l i t y is  ameas ure o f how many co nne ctio n s i n the  grap h as  a  whol e must  runth rough a given i ndiv idual.

I n a  n etw or k oft eenage rs,  it  wouldbe a me a sur eo f th e friend that seem st o  k now some body i n  e ac h  cliquean d s ubcu l t ure,even if  they ar en’t n e ce ss arily t he  perso nwit h t he ab s olut e high est numb er of friends.

I ra n  a second ana l ys i s  t o  con fir m my intuit ion, andsure en oug h :Only  a ha nd f ul of machines connect  d ispara te pa rts of the pi nball mach i n e  univers e to g et h erWe can expec t the  Addams Fa m ily to s how u p in a w ide varie t y  of loca tio ns,  as  ab r id ge between ve r y  dif fe rent ty pes  of gam es. 

T wil igh tZone appe ars to p la yasi mil ar ro l e, but o na s ma lle r sca l e.

Af ter t he f ir st twe nty ors om a chin es ,theimp or tance  ofa nyone mac hine as a  co n nect or  o r subcu lture match-m ak er slowlyco nve rges t o zero.

O ne nice thing about mak i ng a ne two rk gr aphwith Geph i i s that  yo u  can i nvesti gatesu b-r e g ionso f  t heda ta.

For i n s tan ce, w ha t’sgoing o n with Theatre ofM agi c?Network vie w 2 : cl o s econ n ec t ion st o T h e atre of MagicTh is view ma tc h es  my on-the - gro un d perce ption o f The a tre ofMagic — I  don’t fi nd  the m ach ine at pla ces toooften, bu t  when Ido, I  te nd tofi ndgames  likeM edi evalMadnes sand Lo rd of  t he Rings  as well (for example,this i s tru e a t the Sea ttl e  Pi nball Mus eum. 

The Adda msFam ily i s t h ere a s we l l. 

) N etwor k vi e w 3: thes am e g r a ph  with a low e r fil ter t hre s holdIf  weremove some of th e  filtering onthen e two rkg raph  a nd view more m ach in e s  at once ,the intelli gibility  o f  thenetwor k star ts to b r e ak down.
Wecan  see that  th os e  few ma ch in e s with  hig hbetwee nnessc entr a l ity scores are s omewh a t  of a spe cialca se in t h e re alm of pin ball machin es; ma ny m achin es areon ly sub tly  g rouped tog e ther.

Yo u’relikelyto  see  Th e Cham pion P ub an d In di ana  Joins an d AC / DC  ( 
Network view_1: the_most frequently appearing machinesThis_view of_the_pinball graph_excerpts_just the most_frequently occurring pinball_machines out of ~880_in the dataset.

Lines_represent_frequent and strong connections between machines — in this case, machines that frequently show_up_in the_same_place_all across the country.

The Addams_Family shows up as a_large and_central machine in the graph.

In particular, it appears_that_Addams Family has_a uniquely high betweenness centrality score.

In social network terms,_betweenness centrality is a measure of_how many connections_in_the_graph as a whole_must run through a given individual.

In_a network of teenagers, it would_be a measure of the friend that_seems to know somebody in each_clique and subculture, even if_they aren’t_necessarily the person with the_absolute highest number_of friends.

I_ran a second_analysis to confirm my intuition, and_sure enough:Only a_handful of machines connect disparate parts_of_the pinball machine_universe_togetherWe_can expect_the Addams Family_to_show up_in_a wide variety of locations, as_a_bridge between very different types of games.

Twilight_Zone appears to play_a_similar role, but on_a smaller scale.

After the first_twenty or so machines, the importance_of any_one machine_as a connector or subculture match-maker slowly converges to zero.

One nice_thing about making a network graph_with Gephi is that_you can_investigate_sub-regions of the_data.

For_instance, what’s_going on with Theatre of Magic?Network view_2: close_connections to Theatre of MagicThis view_matches my on-the-ground perception_of_Theatre of Magic — I don’t_find the machine at places too_often, but when I do,_I_tend_to find games like Medieval_Madness and Lord of the Rings_as well (for_example, this is true at the Seattle_Pinball_Museum.

The Addams Family is there as_well.

)Network_view 3: the same graph with_a_lower_filter thresholdIf we remove some_of the filtering on the network_graph and view more machines at once, the intelligibility_of the network_starts to break down.

We can_see_that_those few machines with high betweenness centrality scores are somewhat_of a_special case in_the realm of pinball machines; many machines are only subtly_grouped together.

You’re likely to see The Champion_Pub and Indiana Joins and AC/DC (