can social group formation norms influence behavior an
play

Can Social Group-Formation Norms Influence Behavior?: An - PowerPoint PPT Presentation

Mar 24, 2023 •20 likes •690 views

Can Social Group-Formation Norms Influence Behavior?: An Experimental Study Alexandros Rigos Lund University Lund Brown Bag Seminar 2017-03-31 Alex Rigos (Lund) Social Group-Formation Norms Title Motivation Evolutionary Game Theory: More

  1. Can Social Group-Formation Norms Influence Behavior?: An Experimental Study Alexandros Rigos Lund University Lund Brown Bag Seminar 2017-03-31 Alex Rigos (Lund) Social Group-Formation Norms Title

  2. Motivation Evolutionary Game Theory: More successful strategies evolve faster than less successful ones. (Maynard Smith and Price, 1973) Alex Rigos (Lund) Social Group-Formation Norms 1 / 34

  3. Motivation Evolutionary Game Theory: More successful strategies evolve faster than less successful ones. (Maynard Smith and Price, 1973) Usual assumption: random matching. Alex Rigos (Lund) Social Group-Formation Norms 1 / 34

  4. Motivation Evolutionary Game Theory: More successful strategies evolve faster than less successful ones. (Maynard Smith and Price, 1973) Usual assumption: random matching. But people do not meet at random. Alex Rigos (Lund) Social Group-Formation Norms 1 / 34

  5. Motivation Evolutionary Game Theory: More successful strategies evolve faster than less successful ones. (Maynard Smith and Price, 1973) Usual assumption: random matching. But people do not meet at random. What if individuals meet similarly behaved ones more often? Alex Rigos (Lund) Social Group-Formation Norms 1 / 34

  6. Motivation Evolutionary Game Theory: More successful strategies evolve faster than less successful ones. (Maynard Smith and Price, 1973) Usual assumption: random matching. But people do not meet at random. What if individuals meet similarly behaved ones more often? Such “assortative” group-formation norm would affect long-run outcomes ( e.g. it can support cooperation in a PD). Alex Rigos (Lund) Social Group-Formation Norms 1 / 34

  7. Motivation Evolutionary Game Theory: More successful strategies evolve faster than less successful ones. (Maynard Smith and Price, 1973) Usual assumption: random matching. But people do not meet at random. What if individuals meet similarly behaved ones more often? Such “assortative” group-formation norm would affect long-run outcomes ( e.g. it can support cooperation in a PD). We test the predictions of nonrandom matching models in a game of aggression (Hawk/Dove). Alex Rigos (Lund) Social Group-Formation Norms 1 / 34

  8. Motivation Questions If there was such assortative matching in place, would it actually change participants’ behaviour? Alex Rigos (Lund) Social Group-Formation Norms 2 / 34

  9. Motivation Questions If there was such assortative matching in place, would it actually change participants’ behaviour? How quickly do participants adapt under different matching regimes? Alex Rigos (Lund) Social Group-Formation Norms 2 / 34

  10. Motivation Questions If there was such assortative matching in place, would it actually change participants’ behaviour? How quickly do participants adapt under different matching regimes? How do they learn? Alex Rigos (Lund) Social Group-Formation Norms 2 / 34

  11. Motivation Questions If there was such assortative matching in place, would it actually change participants’ behaviour? Answer: Yes! How quickly do participants adapt under different matching regimes? How do they learn? Alex Rigos (Lund) Social Group-Formation Norms 2 / 34

  12. Background Evolutionary Game Theory (EGT) Standard: Individuals meet at random. No support for pro-social behaviour. Alex Rigos (Lund) Social Group-Formation Norms 3 / 34

  13. Background Evolutionary Game Theory (EGT) Standard: Individuals meet at random. No support for pro-social behaviour. Deviations from random matching Kin selection (Hamilton, 1964). Alex Rigos (Lund) Social Group-Formation Norms 3 / 34

  14. Background Evolutionary Game Theory (EGT) Standard: Individuals meet at random. No support for pro-social behaviour. Deviations from random matching Kin selection (Hamilton, 1964). Local interactions (Boyd and Richerson, 2002). Alex Rigos (Lund) Social Group-Formation Norms 3 / 34

  15. Background Evolutionary Game Theory (EGT) Standard: Individuals meet at random. No support for pro-social behaviour. Deviations from random matching Kin selection (Hamilton, 1964). Local interactions (Boyd and Richerson, 2002). Homophily (Alger and Weibull, 2011). Alex Rigos (Lund) Social Group-Formation Norms 3 / 34

  16. Background Evolutionary Game Theory (EGT) Standard: Individuals meet at random. No support for pro-social behaviour. Deviations from random matching Kin selection (Hamilton, 1964). Local interactions (Boyd and Richerson, 2002). Homophily (Alger and Weibull, 2011). Meritocracy (action assortativity) (Nax, Murphy, and Helbing, 2014). Alex Rigos (Lund) Social Group-Formation Norms 3 / 34

  17. Background Evolutionary Game Theory (EGT) Standard: Individuals meet at random. No support for pro-social behaviour. Deviations from random matching Kin selection (Hamilton, 1964). Local interactions (Boyd and Richerson, 2002). Homophily (Alger and Weibull, 2011). Meritocracy (action assortativity) (Nax, Murphy, and Helbing, 2014). Jensen and Rigos, (2014) generalize nonrandom matching rules. Alex Rigos (Lund) Social Group-Formation Norms 3 / 34

  18. Background Evolutionary Game Theory (EGT) Standard: Individuals meet at random. No support for pro-social behaviour. Deviations from random matching Kin selection (Hamilton, 1964). Local interactions (Boyd and Richerson, 2002). Homophily (Alger and Weibull, 2011). Meritocracy (action assortativity) (Nax, Murphy, and Helbing, 2014). Jensen and Rigos, (2014) generalize nonrandom matching rules. Different matching rules lead to different evolutionary outcomes. Alex Rigos (Lund) Social Group-Formation Norms 3 / 34

  19. Background Related Experiments Friedman and Oprea, (2011) and Oprea, Henwood, and Friedman, (2011) look at similar evolutionary setup in the lab in continuous time with random matching. They find fast convergence to theoretical predictions (Nash equilibrium). Yang, Yue, and Yu, (2007) show experimentally that assortative matching based on past actions increases cooperation in PD games. Nax et al., (2015) study public goods games under meritocratic matching. High levels of contributions are sustained. Alex Rigos (Lund) Social Group-Formation Norms 4 / 34

  20. Background Related Experiments Friedman and Oprea, (2011) and Oprea, Henwood, and Friedman, (2011) look at similar evolutionary setup in the lab in continuous time with random matching. They find fast convergence to theoretical predictions (Nash equilibrium). Yang, Yue, and Yu, (2007) show experimentally that assortative matching based on past actions increases cooperation in PD games. Nax et al., (2015) study public goods games under meritocratic matching. High levels of contributions are sustained. What about other types of games? Alex Rigos (Lund) Social Group-Formation Norms 4 / 34

  21. Theoretical Concepts The Game There is a population of individuals. Alex Rigos (Lund) Social Group-Formation Norms 5 / 34

  22. Theoretical Concepts The Game There is a population of individuals. Each individual can follow one of two strategies: H or D. Alex Rigos (Lund) Social Group-Formation Norms 5 / 34

  23. Theoretical Concepts The Game There is a population of individuals. Each individual can follow one of two strategies: H or D. At each time t they are drawn to form pairs (1-population matching protocol). Alex Rigos (Lund) Social Group-Formation Norms 5 / 34

  24. Theoretical Concepts The Game There is a population of individuals. Each individual can follow one of two strategies: H or D. At each time t they are drawn to form pairs (1-population matching protocol). Each individual in each pair gets payoff according to HD game. Dove Hawk Dove 11,11 5,17 Hawk 17,5 2,2 Table: (Adapted from Oprea, Henwood, and Friedman, (2011)) Alex Rigos (Lund) Social Group-Formation Norms 5 / 34

  25. Theoretical Concepts The Game There is a population of individuals. Each individual can follow one of two strategies: H or D. At each time t they are drawn to form pairs (1-population matching protocol). Each individual in each pair gets payoff according to HD game. Dove Hawk Dove 11,11 5,17 Hawk 17,5 2,2 Table: (Adapted from Oprea, Henwood, and Friedman, (2011)) Assumption: More successful strategies have more followers next round (because of imitation, replicator dynamics). Alex Rigos (Lund) Social Group-Formation Norms 5 / 34

  26. Theoretical Concepts Matching Protocols Say at time t there are (proportions of) x D Doves and x H Hawks in the population. Alex Rigos (Lund) Social Group-Formation Norms 6 / 34

  27. Theoretical Concepts Matching Protocols Say at time t there are (proportions of) x D Doves and x H Hawks in the population. Random matching: both Doves and Hawks have the same probability to get matched to a Dove ( p DD = p HD = x D ). Alex Rigos (Lund) Social Group-Formation Norms 6 / 34

  28. Theoretical Concepts Matching Protocols Say at time t there are (proportions of) x D Doves and x H Hawks in the population. Random matching: both Doves and Hawks have the same probability to get matched to a Dove ( p DD = p HD = x D ). Assortative matching: p DD − p HD = α (Index of Assortativity). Alex Rigos (Lund) Social Group-Formation Norms 6 / 34

Recommend

Conformity change in behavior to fit in with social norms Norms = widely accepted

Conformity change in behavior to fit in with social norms Norms = widely accepted

Social Psychology Defining Social Psychology informal definition: the study of how people think about, influence, and relate to other people formal definition: the study of how a persons thoughts, feelings, and behaviors are influenced by

1.05k views • 13 slides
Social influence Conformity Informational influence Influence that produces conformity when a

Social influence Conformity Informational influence Influence that produces conformity when a

What is a norm? Informal rule for acceptable and expected behavior Scripts Rituals Customs & traditions Social influence Conformity Informational influence Influence that produces conformity when a person feels that others are correct

234 views • 4 slides
Normative contestation in the age of social media a framework for analysis Norms Standards of

Normative contestation in the age of social media a framework for analysis Norms Standards of

Normative contestation in the age of social media a framework for analysis Norms Standards of appropriate behavior for actors with a given identity A grammar for social interactions, setting parameters for what is correct and incorrect

678 views • 46 slides
6/12/2014 Social norms theoretical background Basic elements of social norms campaign

6/12/2014 Social norms theoretical background Basic elements of social norms campaign

6/12/2014 Social norms theoretical background Basic elements of social norms campaign development Casa Grande approach Cindy Schaider, Executive Director Results Breanna Boland, Program Director Correct youth misperceptions

397 views • 10 slides
Influence and Homophily in Networked User Behavior Eytan Bakshy Facebook mining social network

Influence and Homophily in Networked User Behavior Eytan Bakshy Facebook mining social network

Influence and Homophily in Networked User Behavior Eytan Bakshy Facebook mining social network dynamics workshop @ www 2012 April 16 , 2012 Motivation To what extent do social networks shape our behaviors online? Homophily and

941 views • 45 slides
Enhancing compliance Why do people comply? Adriaan Denkers FIOD-ECD Why do people obey the law?

Enhancing compliance Why do people comply? Adriaan Denkers FIOD-ECD Why do people obey the law?

Enhancing compliance Why do people comply? Adriaan Denkers FIOD-ECD Why do people obey the law? * Personal norms * Social norms * Possibilities * Deterrence Social Norms Descriptive social norms Prescriptive social norms Studies on

220 views • 18 slides
Media Cascading Behavior in Networks Epidemic Spread Influence Maximization Introduction

Media Cascading Behavior in Networks Epidemic Spread Influence Maximization Introduction

Online Social Networks and Media Cascading Behavior in Networks Epidemic Spread Influence Maximization Introduction Diffusion: process by which a piece of information is spread and reaches individuals through interactions. CASCADING BEHAVIOR

1.13k views • 88 slides
How do senators vote? -Issues - Strategies -Affiliation - Influence Voting Behavior 1

How do senators vote? -Issues - Strategies -Affiliation - Influence Voting Behavior 1

4/30/18 CSCI 3210: Computational Game Theory The Power of Context: Ideal Points with Social Interactions Ref: Irfan & Gordon Mohammad T. Irfan How do senators vote? -Issues - Strategies -Affiliation - Influence Voting Behavior 1

314 views • 15 slides
Now She Is Martha, then She Is Mary: The Influence of Beguinages on Gender Norms A. Frigo,

Now She Is Martha, then She Is Mary: The Influence of Beguinages on Gender Norms A. Frigo,

Now She Is Martha, then She Is Mary: The Influence of Beguinages on Gender Norms A. Frigo, E. Roca IRES/IMMAQ Universit e catholique de Louvain September 9, 2017 The Beguine Movement Characteristics of the movement: Organized,

590 views • 29 slides
Peer Monitoring, Ostracism and the Internalization of Social Norms with Rohan Dutta and Salvatore

Peer Monitoring, Ostracism and the Internalization of Social Norms with Rohan Dutta and Salvatore

Peer Monitoring, Ostracism and the Internalization of Social Norms with Rohan Dutta and Salvatore Modica 1 Introduction build on work showing the importance of self-enforcing social norms in enabling groups to overcome public goods problems

762 views • 36 slides
Peer Monitoring, Ostracism and the Internalization of Social Norms with Rohan Dutta and Salvatore

Peer Monitoring, Ostracism and the Internalization of Social Norms with Rohan Dutta and Salvatore

Peer Monitoring, Ostracism and the Internalization of Social Norms with Rohan Dutta and Salvatore Modica 1 Introduction build on work showing the importance of self-enforcing social norms in enabling groups to overcome public goods problems

551 views • 22 slides
Peer Monitoring, Ostracism and the Internalization of Social Norms with Rohan Dutta and Salvatore

Peer Monitoring, Ostracism and the Internalization of Social Norms with Rohan Dutta and Salvatore

Peer Monitoring, Ostracism and the Internalization of Social Norms with Rohan Dutta and Salvatore Modica 1 Introduction builds on work showing the importance of self-enforcing social norms in enabling groups to overcome public goods

579 views • 29 slides
On social influence, topics, and communities Francesco Bonchi www.francescobonchi.com Plan of

On social influence, topics, and communities Francesco Bonchi www.francescobonchi.com Plan of

On social influence, topics, and communities Francesco Bonchi www.francescobonchi.com Plan of the talk Some background on social influence Some background on influence maximization Topic-aware social influence propagation models

755 views • 61 slides
Taking the Mystery Out of Group Behavior OVERVIEW INTRODUCTION TO GROUP DYNAMICS ASPECTS OF

Taking the Mystery Out of Group Behavior OVERVIEW INTRODUCTION TO GROUP DYNAMICS ASPECTS OF

Taking the Mystery Out of Group Behavior OVERVIEW INTRODUCTION TO GROUP DYNAMICS ASPECTS OF GROUP DYNAMICS MODELS FOR UNDERSTANDING GROUP DYNAMICS GUIDELINES FOR BETTER GROUP DYNAMICS GROUP FORMATION THEMATIC CLUSTERING EXERCISE

452 views • 22 slides
Media Diffusion: Cascading Behavior in Networks Epidemic Spread Influence Maximization 1

Media Diffusion: Cascading Behavior in Networks Epidemic Spread Influence Maximization 1

Online Social Networks and Media Diffusion: Cascading Behavior in Networks Epidemic Spread Influence Maximization 1 Introduction Diffusion: process by which a piece of information is spread and reaches individuals through interactions

1.84k views • 134 slides
Social Influence, Avalanches and Learning Jean-Benot Zimmermann (GREQAM) joint work with

Social Influence, Avalanches and Learning Jean-Benot Zimmermann (GREQAM) joint work with

Social Influence, Avalanches and Learning Jean-Benot Zimmermann (GREQAM) joint work with Alexandre Steyer (PRISM-Paris I) Workshop Complex Markets October 2006 Motivations New markets formation and growth, innovation success,

628 views • 30 slides
Epidemics in Social Networks Epidemic Processes Epidemics, Influence, Propagation Viruses,

Epidemics in Social Networks Epidemic Processes Epidemics, Influence, Propagation Viruses,

Epidemics in Social Networks Epidemic Processes Epidemics, Influence, Propagation Viruses, diseases Online viruses, worms Fashion Adoption of technologies Behavior Ideas Example: Ebola virus First emerged in Zaire

621 views • 29 slides
Epidemics in Social Networks Epidemic Processes Epidemics, Influence, Propagation Viruses,

Epidemics in Social Networks Epidemic Processes Epidemics, Influence, Propagation Viruses,

Epidemics in Social Networks Epidemic Processes Epidemics, Influence, Propagation Viruses, diseases Online viruses, worms Fashion Adoption of technologies Behavior Ideas Example: Ebola virus First emerged in

519 views • 26 slides
How Persistent is Social Capital? Jan Fidrmuc Department of Economics and Finance and CEDI,

How Persistent is Social Capital? Jan Fidrmuc Department of Economics and Finance and CEDI,

How Persistent is Social Capital? Jan Fidrmuc Department of Economics and Finance and CEDI, Brunel University What Is Social Capital? Social Capital: informal norms of behavior that affect quantity and quality of social interactions

506 views • 32 slides
Social Influence Analysis in Social Netw orking Big Data: Opportunities and Challenges

Social Influence Analysis in Social Netw orking Big Data: Opportunities and Challenges

Social Influence Analysis in Social Netw orking Big Data: Opportunities and Challenges Presenter: Sancheng Peng Zhaoqing University Contents Introduction 1 Relationship between SIA and BD 2 Framework of Social Influence Analysis 3

808 views • 27 slides
The influence of the current crisis on Corporate Social Responsibility Erika Koller Member of

The influence of the current crisis on Corporate Social Responsibility Erika Koller Member of

EU Japan Contact Group The influence of the current crisis on Corporate Social Responsibility Erika Koller Member of EESC Group II CSR in the EU under normal circumstances Short history overview the European aspect of CSR CSR

818 views • 22 slides
A Logic for Social Influence through Communication Zo e Christoff Institute for Logic,

A Logic for Social Influence through Communication Zo e Christoff Institute for Logic,

Introduction: the two approaches to combine A two dimensional social network plausibility framework Social influence through communication Further research A Logic for Social Influence through Communication Zo e Christoff Institute for

688 views • 41 slides
Who we are Our social norms change for gender equality initiatives, methodologies and materials

Who we are Our social norms change for gender equality initiatives, methodologies and materials

On the CUSP of Change: Ethical and effective scaling of social norms programming for gender equality Community for Understanding Scale Up (CUSP) Who we are Our social norms change for gender equality initiatives, methodologies and materials have

363 views • 19 slides
support and community level social norms around harmful practices: the case of female genital

support and community level social norms around harmful practices: the case of female genital

Challenges in measuring individual support and community level social norms around harmful practices: the case of female genital mutilation Expert Group meeting on Population Data for the 21st Century: Advances in data colection

691 views • 27 slides

More recommend