how do newcomers blend into a group?: study on a social network game
TRANSCRIPT
CyberAgent,Inc.
HowDoNewcomersBlendintoaGroup?:StudyonaSocialNetworkGame
CyberAgent.Inc,TechnicalDept.AkihabaraLaboratory M.Takano,K.Wada,andI.Fukuda
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DOCMAS&WEIN2015Workshop@WI-IAT
CyberAgent,Inc.
CooperaTveBehavior
Coopera'vebehaviorrequiresactors'costs,butgivebenefitstorecipients.Importantfactorsforhumansociety.BigQues'oninEvolu'on.15/12/06 2
CyberAgent,Inc.
ProblemofCooperaTon
MutualcooperaTonincreasesourbenefit.WhyisitsevoluTonthequesTon?
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CooperaTngeachother
ThebothgetbenefitsCooperate
Cooperate
CyberAgent,Inc.
ProblemofCooperaTon
MutualcooperaTonincreasesourbenefit.WhyisthisevoluTonthequesTon?
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Butifonedefects
Thedefectorgetshigherbenefitthananother(cooperator).
Defect
Cooperate
CyberAgent,Inc.
ProblemofCooperaTonMutualcooperaTonmakebenefitforall.
ButunilateraldefecTonmakemorebenefitstodefectors.→Coopera'vepopula'onwillbecomedefec'vepopula'on
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HighBenefit
LowBenefit
GoodrelaTonship,butunstable.
Stable,butbadrelaTonship
CyberAgent,Inc.
ProblemofCooperaTon
However,humanscooperateeachother
Humanshouldhavego\encoopera'onmechanismsduringtheevoluTonary process
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CyberAgent,Inc.
MechanismsofCooperaTon
ü KinSelecTonü DirectReciprocityü IndirectReciprocityü SpaTalSelecTonü MulT-levelSelecTon
ref.DavidGRand,etal.,HumancooperaTon.TrendsincogniTvesciences,Vol.17,No.8,pp.413-25,2013.
ThesemechanismsgenerateassortmentsbetweencooperatorsanddefectorstokeepinteracTonamongcooperatorsbyexcludingstrangers.i.e.,cooperaTonmechanismsexcludestrangersfromcooperaTvegroups.
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CyberAgent,Inc.
ProblemofCooperaTonMechanismsü KinSelecTonü DirectReciprocityü IndirectReciprocityü SpaTalSelecTonü MulT-levelSelecTon
Thereciprocalmechanismsrequirecoopera'veinterac'oninfirst'memee'ng,becausereciprocalcooperatorscooperateothersasthereacTonoftheircooperaTontoavoidtocooperatedefectors.ü i.e.,toincreasereciprocalrelaTonships,infirstTmemeeTng,theyshould
cooperate(notexclude)strangerstoconstructgoodrelaTonships.
Thereareinterac'onrisks,becausetheyareunfamiliareachother.
→Howdohumansconstructreciprocalrela'onshipswithstrangers?
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CyberAgent,Inc.
OurApproach
Weapproachedthisproblembasedondataanalysisofasocialnetworkgame.SocialNetworkGame(SNG):ü OnetypeoftheOnlineGames.ü Alotofplayers,andtheirallbehaviorwasstoredaslogdata.
ü Playerscooperateandcompeteeachother.→Wecanobservetheirsocialbehaviorindetail.
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CyberAgent,Inc.
PreviousStudiesandOurApproach
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ParTalandBiasedDataHardtoUnderstand
CleanandDetailedDataEasytoUnderstand
MathemaTcalModelSimulaTon
ExperimentsinLab
✊ ✋
Data Analysis of SNGsObservaTon
Study
Thedataanalysisofthegamedatacatchupotherapproaches.ü WecanobservedetailbehaviordataofmassiveplayerslikemathemaTcalmodelsandsimulaTons.
ü ThedataismoredetailthanobservaTonstudies.
ü Thegameenvironmentismoreopen-endedthanothers.
CyberAgent,Inc.
SocialNetworkGame
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• URL:h\p://vcard.ameba.jp• Lang:Japanese• Since2012/10Weanalyzedthisgamedatafor2weeks(2013/03/25to2013/04/08).
CyberAgent,Inc.
TheMinimumSetofGameRules
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• Playersaimtogetpointsandtorisearankingbasedonthepoints• Eachplayerbelongedtoagroup(Thegroupsize:1〜50players)
• Thegamesystemsupportjointworksingroups.• Playersgetadvantageswhentheydojointworkwiththeirgroup
members• AplayercanmigratefromagrouptoanothergroupatanyTme.
• Playerscommunicatebysendingsimplemessage(30Japanesecharacters). • Messaging:no-costandnon-beneficialbehavior.
→Weanalyzed2typessocialinteracTon:cooperaTonandmessaging
1:Smith(12040pt)
2:MarTn(11010pt)
3:Anderson(11005pt)
4:Ken(9015pt)
・・・
Migra'on
Ranking
Simplemessaging
Coopera'on
CyberAgent,Inc.
CooperaTveBehavior
ü WefocusonaspecificgamesituaTonlikeLeadergameü IntheSNG,playersbehavevariously.ü WecannottrackallcooperaTvebehavior.→Weregarded
Aplayer'sthiscooperaTonfrequencyintheSNG ≒theplayer'scooperaTveness
ü PayoffMatrixofthesituaTonlikeLeadergame
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Cooperate Defect
Cooperate -,- 1,3
Defect 3,1 0,0
Cooperatorget1point.Defectorget3point.
CyberAgent,Inc.
InteracTonofFirstTimeMeeTngü WetrytoobservetheconstrucTonprocessofreciprocalrelaTonships.ü InthisSNG,playersconstructedtherelaTonships.
ü ref:MasanoriTakano,KazuyaWada,andIchiroFukuda,"ReciprocalAltruism-basedCooperaToninaSocialNetworkGame",NewGeneraTonCompuTng(inpress).h\p://arxiv.org/abs/1510.06197
ü Weobservedplayers'behaviorattheamermigraTonü Didthenewcomersandgroupmemberscooperateeachother?
ü HowwasthedifferenceinsocialinteracTonbetweenthenewcomersandthegroupmembers?
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Migra'on
CyberAgent,Inc.
TwoRegressionModels
ü AModelforCoopera'ontoothersü WerenewcomerscooperaTve?ü Howwascoopera'ontoothersinfluencedbyrecipients'behavior?
ü AModelforCoopera'onfromothersü Werenewcomerscooperated?ü Howwascoopera'onfromothersinfluencedbyactors'behavior?
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CyberAgent,Inc.
NegaTveBinomialRegressionModel(GLM)
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AModelforCooperaTontoOthersü Thismodelisintendedtoexplainthenumberofcoopera'onbyplayers'experiencesandaVributes
ResponseVariable:NumberofCooperaTontoOthers
ExplanatoryVariables:ExperiencesandA\ributes
SampleSize:400,000
CyberAgent,Inc.
NegaTveBinomialRegressionModel(GLM)
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AModelforCooperaTontoOthersü Didnewcomerscooperate?
f:NewcomerFlag(0or1)• f=1:Newcomer(firstdayofmigraTon)• f=0:ExisTngGroupMembers
Ifβ4>0thenitshowsthatnewcomersmoreomen cooperatethanexis'nggroupmembers.
ResponseVariable:NumberofCooperaTontoOthers
CyberAgent,Inc.
NegaTveBinomialRegressionModel(GLM)
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AModelforCooperaTontoOthersü Howdidnewcomersreactotherscoopera'on?
C'(1-f):(Exis'ngGroupMember's)NumberofCooperaTonfromOthers
Ifβ6>β5>0thenitshowsnewcomerswereinfluencedbycooperaTonfromothersmorethanexis'nggroupmembers.
C'f:(Newcomer's)NumberofCooperaTonfromOthers
ResponseVariable:NumberofCooperaTontoOthers
CyberAgent,Inc.
NegaTveBinomialRegressionModel(GLM)
2015/12/06
AModelforCooperaTontoOthersü Howdidnewcomersreactothersmessaging?
g'(1-f):(Exis'ngGroupMember's)NumberofMessagingfromOthers
Ifβ8>β7>0thenitshowsnewcomerswereinfluencedbymessagingfromothersmorethanexis'nggroupmembers.
g'f:(Newcomer's)NumberofMessagingfromOthers
ResponseVariable:NumberofCooperaTontoOthers
CyberAgent,Inc.
NegaTveBinomialRegressionModel(GLM)
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AModelforCooperaTontoOthersü Theotherswereenteredascovariatestocontrolfortheothereffects.
TheothersarecovariatesResponseVariable:NumberofCooperaTontoOthers
CyberAgent,Inc.
Results–ModelforCooperaTontoOthers
• NewcomerstendedtocooperateotherswithoutotherscooperaTonandmessaging.
• Newcomersomencooperatedgroupmembers.ü β4>0
• Incomparisonbetweennewcomersandgroupmembersü Newcomersdidn'ttendtobeinfluencedbyotherssocialbehavior.ü β5>β6>0,β7>β8>0
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β4β5β6β7β8
CyberAgent,Inc.
NegaTveBinomialRegressionModel(GLM)
2315/12/06
AModelforCooperaTonfromothersü Thismodelisintendedthenumberofcoopera'onfromothersbybehaviorandaVributes
ResponseVariable:NumberofCooperaTonfromOthers
ExplanatoryVariables:BehaviorsandA\ributes
SampleSize:400,000
CyberAgent,Inc.
ResponseVariable:NumberofCooperaTonfromOthers
NegaTveBinomialRegressionModel(GLM)
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AModelforCooperaTonfromothersü Werenewcomerscooperated?
f:NewcomerFlag(0or1)• f=1:Newcomer(firstdayofmigraTon)• f=0:ExisTngGroupMembers
Ifβ4>0thenitshowsthatnewcomersweremoreomencooperatedthanexis'nggroupmembers.
CyberAgent,Inc.
NegaTveBinomialRegressionModel(GLM)
2515/12/06
AModelforCooperaTonfromothersü Howdidnewcomersreactotherscoopera'on?
C(1-f):(Exis'ngGroupMember's)NumberofCooperaTontoOthers
Ifβ6>β5>0thenitshowsPlayersweremoresensiTvenewcomers'cooperaTonthanexis'ngmembers'cooperaTon.
Cf:(Newcomer's)NumberofCooperaTontoOthers
ResponseVariable:NumberofCooperaTonfromOthers
CyberAgent,Inc.
NegaTveBinomialRegressionModel(GLM)
2615/12/06
AModelforCooperaTonfromothersü Howdidnewcomersreactothersmessaging?
g(1-f):(Exis'ngGroupMember's)NumberofMessagingtoOthers
Ifβ8>β7>0then itshowsPlayersweremoresensiTvenewcomers'messagingthanexis'ngmembers'messaging.
gf:(Newcomer's)NumberofMessagingtoOthers
ResponseVariable:NumberofCooperaTonfromOthers
CyberAgent,Inc.
NegaTveBinomialRegressionModel(GLM)
2715/12/06
AModelforCooperaTonfromothersü Theotherswereenteredascovariatestocontrolfortheotherfactors.
Theothersarecovariates
ResponseVariable:NumberofCooperaTonfromOthers
CyberAgent,Inc.
Results–ModelforCooperaTonfromOthers
ü Newcomerstendedtobecooperated,newcomersmessagingisimportanttogetcooperaTon.
ü Newcomerswereomencooperatedbygroupmembers.ü β4>0
ü PlayerswerelesssensiTvetonewcomers'cooperaTonthanexis'nggroupmembers'cooperaTon.ü β5>β6>0
ü PlayersweremoresensiTvetonewcomers'messagesthanexis'nggroupmembers'messages.ü β8>β7>0
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β4β5β6β7β8
CyberAgent,Inc.
Summary
ü TheSNGplayersresolvedinteracTonriskinfirstTmemeeTng.ü Infirst'memee'ng,theyo]encooperatedeachother.
→TheymayhaveconstructedreciprocalrelaTonships.
ü ref.ReciprocalrelaTonshipsinthisSNG.ü MasanoriTakano,KazuyaWada,andIchiroFukuda,"ReciprocalAltruism-basedCooperaToninaSocialNetworkGame",NewGeneraTonCompuTng(inpress).h\p://arxiv.org/abs/1510.06197
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CyberAgent,Inc.
Summary
ü Thedifferencebetweennewcomersandexis'nggroupmembersinmessagingü PlayersweremoresensiTvenewcomers'messagingthanexis'ngmembers'messaging.
ü Messagingisnotrisky
ü Messaging:no-costandnon-beneficialbehaviorü IntheriskysituaTon(firstTmemeeTng),playersmayhaveusenon-riskyinteracTontoconstructreciprocalcooperaTon.
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CyberAgent,Inc.
GameRule–RaidBa\le
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①Search Enemies
Player
⑤Theirpointgainincreaseby1.5Tmes
⑥Ranking
GroupMembers
②FindanEnemy →Ba\leStart
③CallforHelp
④A\ack
1:Smith(12040pt)
2:MarTn(11010pt)
3:Anderson(11005pt)
4:Ken(9015pt)
・・・
Playersba\lewithenemiestogeteventpointfortheranking
• PlayersacquireEventPointinproporTontotheirpower.• Thenumberofa\ackisfinite.→Playershavetoeffec'velygetthepointsfortheranking.
CyberAgent,Inc.
TestScenario
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A\ack WaitA\ack - 1,3Wait 3,1 0,0
Tosimplifythis,considerthattwoplayersba\ledtheenemy
Aplayerwaitanother'sa\acktouseeffecTvelytheirresource.
WeregardedtheAVackbehaviorascoopera'on.
Whentheenemy'shitpointsareveryfew
A\ack
HP
Playersacquiresmallerpointswhen"A\ackpower>Enemy'sHP"thanwhen"A\ackpower≦Enemy'sHP"
CyberAgent,Inc.
AssortmentCooperatorsandDefectors
Densitydistribu'onofthepropor'onofcooperatorsineachgroup.
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0.0
0.1
0.2
0.3
0.00 0.25 0.50 0.75 1.00Proportion of Cooperators
Dens
ity
MasanoriTakano,KazuyaWada,andIchiroFukuda,"EnvironmentallyDrivenMigraToninaSocialNetworkGame",ScienTficReports,5,12481;doi:10.1038/srep12481(2015).