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Measuring social dynamics in a massive multiplayer online game

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第5回 複雑ネットワーク読書会 LT資料

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Measuring social dynamics in a massive multiplayer online game

  1. 1. 第5回  複雑ネットワーク読書会 Measuring  social  dynamics  in  a   massive  multiplayer  online  game   Shintaro  TAKEMURA   d.hatena.ne.jp/taos     twi9er.com/stakemura   facebook.com/shintaro.takemura
  2. 2. Author•  Michael  Szell   Sec@on  for  Science  of  Complex  Systems   Research  Assistant   Medical  University  of  Vienna,  Austria   Michael  Szell  is  PhD  candidate  in  physics  at  University  of  Vienna,  Austria,  and  research   assistant  at  the  Sec@on  for  Science  of  Complex  Systems,  Medical  University  of  Vienna,  since   2008.  He  graduated  at  Vienna  University  of  Technology  in  2007,  in  technical  mathema@cs  with   focus  on  computer  science.  Besides  pursuing  his  studies,  Szell  has  co-­‐developed  the  Massive   Mul@player  Online  Game  Pardus  (www.pardus.at)  since  2004.  The  universe  of  the  game   features  a  rich  socio-­‐economic  system  with  a  worldwide  user-­‐base  of  more  than  350,000   players.  For  commercially  handling  Pardus  he  co-­‐founded  an  enterprise  in  2006  of  which  he  is   manager.  The  main  part  of  his  scien@fic  work  involves  the  analysis  of  socio-­‐economic  behavior   and  dynamic  social  networks  of  players  from  his  online  game.  His  research  interests  cover  the   analysis  and  modeling  of  complex  socio-­‐economic  systems  and  social  dynamics,  social   network  analysis  and  network  theory,  sta@s@cal  physics,  as  well  as  behavioral  economics  and   evolu@onary  game  theory.  The  hobbies  of  Michael  Szell  include  playing  Badminton,  Tennis,   Squash,  and  the  piano,  programming,  reading,  and  enjoying  life  in  and  around  Vienna.  Szell  is   fluent  in  German,  English,  as  well  as  Hungarian  due  to  his  Hungarian  ancestry.
  3. 3. Pardus•  ブラウザベースのオンラインゲーム   –  約3年年かけてゲームプレイヤーの⾏行行動を分析
  4. 4. Social  Network•  3種のネットワーク   –  Friend network, –  Enemy network –  Private Message (PM) network
  5. 5. Distribution•  Enemiesのinとoutの差異異に注⽬目
  6. 6. Triads•  3つ組に注⽬目
  7. 7. Transition•  推移に注⽬目

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