How Do Newcomers Blend into a Group?: Study on a Social Network Game
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The document describes a study analyzing data from a social network game to understand how newcomers blend into groups. Key findings include: - Newcomers tended to cooperate with existing group members without receiving prior cooperation, showing they cooperate to construct new relationships. - Newcomers were more influenced by messaging from others compared to existing members, indicating messaging helps newcomers integrate. - Both newcomers and existing members were more likely to cooperate with and respond to the cooperation of newcomers over existing members, demonstrating groups accept newcomers. The analysis provides insights into how humans use reciprocal altruism to construct cooperative relationships with strangers and integrate newcomers into groups.
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How Do Newcomers Blend into a Group?: Study on a Social Network Game
- 8. CyberAgent, Inc. Problem of CooperaTon Mechanisms ü Kin SelecTon ü Direct Reciprocity ü Indirect Reciprocity ü SpaTal SelecTon ü MulT-level SelecTon The reciprocal mechanisms require coopera've interac'on in first 'me mee'ng, because reciprocal cooperators cooperate others as the reacTon of their cooperaTon to avoid to cooperate defectors. ü i.e., to increase reciprocal relaTonships, in first Tme meeTng, they should cooperate (not exclude) strangers to construct good relaTonships. There are interac'on risks, because they are unfamiliar each other. → How do humans construct reciprocal rela'onships with strangers? 8
- 10. CyberAgent, Inc. Previous Studies and Our Approach 10 ParTal and Biased Data Hard to Understand Clean and Detailed Data Easy to Understand MathemaTcal Model SimulaTon Experiments in Lab ✊ ✋ Data Analysis of SNGs ObservaTon Study The data analysis of the game data catch up other approaches. ü We can observe detail behavior data of massive players like mathemaTcal models and simulaTons. ü The data is more detail than observaTon studies. ü The game environment is more open-ended than others.
- 11. CyberAgent, Inc. Social Network Game 11 • URL: hp://vcard.ameba.jp • Lang: Japanese • Since 2012/10 We analyzed this game data for 2 weeks (2013/03/25 to 2013/04/08).
- 12. CyberAgent, Inc. The Minimum Set of Game Rules 12 • Players aim to get points and to rise a ranking based on the points • Each player belonged to a group（The group size: 1〜50 players） • The game system support joint works in groups. • Players get advantages when they do joint work with their group members • A player can migrate from a group to another group at any Tme. • Players communicate by sending simple message (30 Japanese characters). • Messaging: no-cost and non-beneficial behavior. → We analyzed 2 types social interacTon: cooperaTon and messaging 1: Smith（12040pt） 2: MarTn（11010pt） 3: Anderson（11005pt） 4: Ken（9015pt） ・・・ Migra'on Ranking Simple messaging Coopera'on
- 13. CyberAgent, Inc. CooperaTve Behavior ü We focus on a specific game situaTon like Leader game ü In the SNG, players behave variously. ü We cannot track all cooperaTve behavior. → We regarded A player's this cooperaTon frequency in the SNG ≒ the player's cooperaTveness ü Payoff Matrix of the situaTon like Leader game 13 Cooperate Defect Cooperate -, - 1, 3 Defect 3, 1 0, 0 Cooperator get 1 point. Defector get 3 point.
- 18. CyberAgent, Inc. NegaTve Binomial Regression Model (GLM) 18 A Model for CooperaTon to Others ü Did newcomers cooperate? f: Newcomer Flag (0 or 1) • f=1: Newcomer (first day of migraTon) • f=0: ExisTng Group Members If β4 > 0 then it shows that newcomers more omen cooperate than exis'ng group members. Response Variable: Number of CooperaTon to Others
- 22. CyberAgent, Inc. Results – Model for CooperaTon to Others • Newcomers tended to cooperate others without others cooperaTon and messaging. • Newcomers omen cooperated group members. ü β4 > 0 • In comparison between newcomers and group members ü Newcomers didn't tend to be influenced by others social behavior. ü β5 > β6 > 0, β7 > β8 > 0 22 β4 β5 β6 β7 β8
- 28. CyberAgent, Inc. Results – Model for CooperaTon from Others ü Newcomers tended to be cooperated, newcomers messaging is important to get cooperaTon. ü Newcomers were omen cooperated by group members. ü β4 > 0 ü Players were less sensiTve to newcomers' cooperaTon than exis'ng group members' cooperaTon. ü β5 > β6 > 0 ü Players were more sensiTve to newcomers' messages than exis'ng group members' messages. ü β8 > β7 > 0 28 β4 β5 β6 β7 β8
- 32. CyberAgent, Inc. Game Rule – Raid Bale 32 ①Search Enemies Player ⑤Their point gain increase by 1.5 Tmes ⑥Ranking Group Members ②Find an Enemy → Bale Start ③Call for Help ④Aack 1: Smith（12040pt） 2: MarTn（11010pt） 3: Anderson（11005pt） 4: Ken（9015pt） ・・・ Players bale with enemies to get event point for the ranking • Players acquire Event Point in proporTon to their power. • The number of aack is finite. → Players have to effec'vely get the points for the ranking.
- 33. CyberAgent, Inc. Test Scenario 33 Aack Wait Aack - 1, 3 Wait 3, 1 0, 0 To simplify this, consider that two players baled the enemy A player wait another's aack to use effecTvely their resource. We regarded the AVack behavior as coopera'on. When the enemy's hit points are very few Aack HP Players acquire smaller points when "Aack power > Enemy's HP" than when "Aack power ≦ Enemy's HP"
- 34. CyberAgent, Inc. Assortment Cooperators and Defectors Density distribu'on of the propor'on of cooperators in each group. 34 0.0 0.1 0.2 0.3 0.00 0.25 0.50 0.75 1.00 Proportion of Cooperators Density Masanori Takano, Kazuya Wada, and Ichiro Fukuda, "Environmentally Driven MigraTon in a Social Network Game", ScienTfic Reports, 5, 12481; doi: 10.1038/srep12481 (2015).