Games On NetworksGames On Networks
Lecture 12
Aim Lecture 12
To understand
how networks & games are related
Games with strategic complements
Games with heterogeneous players
Games with endogenous link formation
An experiment on network games
So far...
We are interested in understanding
networks & behavior
Now by
bringing strategic interaction into
play
Network Games
In network games
Decisions to be made
Not just a simple diffusion or contagion process
People care about what other people
are doing
Complementarities
I want to buy/use a certain software only if other people are
buying/using that same software
Languages, attending to social events...
Interdependencies between individuals
For this purpose
We use game theory as a tool
to try and understand how
behavior relates to network
structure
Players on a network
Different individuals each making decisions
Games on Networks
Care about the actions of neighbors
Interdependencies in payoffs (i.e., their utility function)
Our Focus
What can we say about behavior
&
how it relates to network structure
Network Games
Strategic Complementarities
With
Each player chooses an action
xi in {0,1}
Network game
Either use the software or not
Payoff will depend on
my choice the choice of my neighbors
ui(xi, xNi)
How many choose 1 or 0Whether I choose 1 or 0
Either take an action or not
simplifying assumptions
1
2
Care about actions of neighbors but not who
they are (Identities)
3 Fixed networks
1 or 0, but not a wide range of choices
I don’t have best friends or closer neighbors
I cannot choose my neighbors but they are given
It will become richer soon...
Complements vs. Substitutes
Types of games
As more of my friends take an action, it is more attractive to me
ui(1,m)-ui(0,m)≥ ui(1,m’)-ui(0,m’) for all m≥m’
Strategic complements - Increasing differences
Strategic substitutes - Decreasing differences
As more of my friends take an action, it is less attractive to me
ui(1,m)-ui(0,m)≤ ui(1,m’)-ui(0,m’) for all m≥m’
Coordination
Anti-Coordination
Example 1
An agent chooses action 1 if at least
two neighbors do: threshold of one.
Payoff action 0: ui=0
Payoff action 1: ui=-1, if less than two neighbors choose 1
ui=1 per coordination, if at least two
neighbors choose 1
Remember: payoffs are ordinal.
The number doesn’t matter
Example 1
For example:
I only choose to use a technology (choose 1) if at least 2 of my friends are using it, otherwise
I rather not do it.
An agent chooses action 1 if at least
two neighbors do: threshold of one.
0
0
0
0
00
0
0
0
0
0
Only one
neighbor, so they
can’t choose 1
Example 1
For example:
0
0
0
0
00
0
0
0
0
0But, how about
this guy?
I only choose to use a technology (choose 1) if at least 2 of my friends are using it, otherwise
I rather not do it.
An agent chooses action 1 if at least
two neighbors do: threshold of one.
Example 1
For example:
I only choose to learn to play bridge if at least 2 of my friends know how to play it. otherwise I
rather not do it.
0
0
0
0
01
0
0
1
1
0
Each has at least
two friends
choosing 1
An agent chooses action 1 if at least
two neighbors do: threshold of one.
Nash Equilibrium
No player wants to change her behavior
alone, fixing what her neighbors are doing
0
0
0
0
00
0
0
0
0
0
Case 1: The technology is never used
Nash Equilibrium
Case 2: These three people adopted the technology
because each of them has 2 neighbors using it
0
0
0
0
01
0
0
1
1
0
In this case no one else would want to do it
Network Games
Heterogeneous Preferences
With
&
Strategic Complementarities
Either take an action or not
simplifying assumptions
1
2
Care about actions of neighbors but not who
they are (Identities)
3 Fixed networks
1 or 0, but not a wide range of choices
I don’t have best friends or closer neighbors
I cannot choose my neighbors but they are given
Strategic complementarities
Games with complements
The choice to take an action by my friends increases
my relative payoffs to taking that action (tipping point)
Tipping point: Threshold (ti)
Number of my neighbors adopting the technology (choosing action 1)
0 niti
------- I choose 0 ------- ------- I choose 1 -------
if ni(1)<ti I choose 0 & if ni(1)≥ti I choose 1
Education decisions: university, human capital?
Some examples of SC
Increases access to jobs (the more people you know who are well educated the higher the chances)
Invest if at least k neighbors do the same
Technology adoption/ learn a language
Peer influence were the pressure grows with the size of the crowd
Cheating, doping
Anti-social behavior: smoking among teens
If you are in sports and others are taking “performance enhancing drugs”
The relative payoff goes up the more others are doing it... even though the
more people do it doesn’t make it better for an athetle
Example 2
Players have preferences for the different
options: like one more than the other
any two players are identicalSo far:
Heterogeneous Network Games: Conflicting Preferences
with P. Hernández & A. Sánchez (GEB, 2013)
Types:
ui= a for 1 & b for 0
ui= b for 1 & a for 0
a>b
Example 2
1 > 0 0>1
2a,2a a,b
b,a 2b,2b
1
0
1 0
2a,2b a,a
b,b 2b,2a
1
0
1 0
2b,2b b,a
a,b 2a,2a
1
0
1 0
Conflicting preferences: Players want to be together, but
have different opinions about which is the most desirable outcome
Example 2
An agent chooses her favorite action
if ti=1/3 of her neighbors choose it
Neighbors choosing 1
0 ni
ti ti
0
0
1
0
1
1
There are two thresholds: One to choose
what I like (ti) & one to choose what I dislike (ti)
With heterogeneity
We can understand & model the
strength of social influence
needed to make players adopt
certain behaviors
Education decisions: The effect is different
for people who would prefer to study than for those
who would prefer to jump into the job market
Anti-social behavior: Kids who would like
smoking need less influence to start than others
Example 2
We know need to consider:
preference (type) & behavior (action chosen)
00
00
00
00
0000
00
00
00
00
00
The first digit is the preference & the second the behavior
Example 2
We know need to consider:
preference (type) & behavior (action chosen)
Case 1: This is a Specialized satisfactory equilibrium.
00
00
00
00
0000
00
00
00
00
00
All choose the
same action &
are happy
Example 2
We know need to consider:
preference (type) & behavior (action chosen)
11
11
11
11
1111
11
11
11
11
11
All choose the
same action &
are happy
Case 1: This is a Specialized satisfactory equilibrium.
Example 2
We know need to consider:
preference (type) & behavior (action chosen)
Case 2: This is a Specialized frustrated equilibrium.
00
00
00
00
0010
10
10
10
10
00
All choose the
same action but
the 1’s are
frustrated
Example 2
We know need to consider:
preference (type) & behavior (action chosen)
Case 2: This is a Specialized frustrated equilibrium.
01
01
01
01
0111
11
11
11
11
01
All choose the
same action but
the 0’s are
frustrated
Example 2
We know need to consider:
preference (type) & behavior (action chosen)
Case 3: This is a Hybrid satisfactory equilibrium.
00
00
00
00
0011
11
11
11
11
11
All choose the
preferred action
(happy) & both
actions coexist
Example 2
We know need to consider:
preference (type) & behavior (action chosen)
Case 4: This is a Hybrid frustrated equilibrium.
00
00
10
00
0001
11
11
11
11
01
Some choose
the non-preferred
action & both
actions coexist
What does this mean?
People’s relationships with others
determine the benefits they can get
and the goals they can achieve
1
Marsden & Gorman, 2001
About 2/3 of the working population in western
industrialized societies (informal social ties)
Participation in political protest
Affected by friendship and family networks
Opp & Gern, 1993
Finding jobs
But...
2 People’s characteristics determine
the social relationships they form
Opportunity (Contact theory)
More of a chance of meeting your own type
The possibility that you meet people could be biased by
attributes (i.e, race)
Costs & benefits
Social pressure or social competition
Common attributes (i.e., language, culture, knowledge) make it
easier
Network Games
Endogenous link formation
With
&
Strategic Complementarities
Heterogeneous Preferences
&
Either take an action or not
simplifying assumptions
1
2
Care about actions of neighbors but not who
they are (Identities)
3 Fixed networks
1 or 0, but not a wide range of choices
I don’t have best friends or closer neighbors
I cannot choose my neighbors but they are given
A person’s social network promotes
her goal achievement
&
1
2
A person will invest in her social
network (i.e., form relationships)
depending on its instrument value
Combined arguments
What if people’s preferences on the
possible outcomes are in conflict?
Heterogeneity in preferencesHeterogeneity in preferences
The Model
2 stage network game
Nodes: Purposive rational actors
Players
Type ✓i 2 {0, 1}
N = {1, . . . , n}
Affiliation
Each player announces
who they wish to link with
pi
= (p1
, . . . , pn
)
A link forms iff both players
propose to each other
Behavior Adoption
Players observe the network
and choose an action
X = {0, 1}
A player of type 1 prefers
action 1 over 0
The Model
The network generates payoffs to the players
ui(✓i, (p1
, . . . , pn
), xi, xki(g)) = ✓i
xi
(1 +
Pki
j=1 I{xj =xi}) cpi
Indicator function
coordination
Type parameter
a if happy
b if frustrated
Linking cost
for every proposal
a>b>c
Coordination game with strategic complementarities
The Model
Equilibrium examples
Subgame perfect Nash equilibrium
No links with uncoordinated neighbors are kept
Only links with coordinating neighbors are part of
an equilibrium
No unreciprocated links are proposed
There are multiple networks that satisfy these properties
The more neighbors coordinating with the better
Threshold model (tipping point to choose favorite action)
The effect of different levels of conflict
in the preferences (microlevel) on the
emerging network configurations (macrolevel)
Experimental Design
3 treatments
No conflict (15-0) - 30 subjects+
+ Low conflict (12-3) - 45 subjects
+ High conflict (8-7) - 45 subjects
One-shot + 15 players + 20 rounds + z-tree
Undergraduate students Universitat de Valencia (Spain)
Experimental Design
Multiple equilibria
Link Proposal
Action
1 socially optimal
Complete network
Favorite behavior
of the majority
Results
Who is proposing connections to whom?
Subjects segregate between types
(preferences) in the relationships
they form
1
Maj proposes & connects most often in No and least often in High+
Min proposes & connects most often in High and least often in Low
In High, Min sends more proposals between groups than Maj
+
+
2 components in heterogeneity
Results
Who is proposing connections to whom?
Box plots of proposals & connections within & between groups
Results
Subjects attempt to maximize payoffs
within the equilibrium they choose2
How is the level of connectivity?
Differences between treatments and groups are systematic+
ANOVA: (Ftreatment=5.00, p<0.01; Fgroup=79.92, p<0.001)
+ Min networks are denser than the Maj networks
+ Density is lower in Low than in No
+ Max. density is reached for Min in High
Results
Box plots of density by treatment and groups
How is the level of connectivity?
Results
Subjects reach stable configuration in
homogeneity or minorities in heterogeneity3
Is there any stable subgroup & when?
NO: complete density from round 12 on
LOW & HIGH: Do not reach complete density + lower density than Min
Minority
LOW: complete density from round 4 on.
HIGH: start off with higher densities + complete density from round 6
Once complete density is reached it remains very stable.
Majority
Results
Is there any stable subgroup & when?
Is there any stable subgroup & when?
Results
Is there any stable subgroup & when?
Results
Implications
Conflicting preferences
social optimality is not reached (risk-
dominant equilibrium)
Subjects aim for the payoff dominant
equilibrium within their segregated Eq.
Individual preferences are more focal than payoffs
Game theoretic Lit:
exogenous networks (risk-dominant equilibrium)
endogenous networks (payoff dominant equilibrium)
Existence of conflict (not level) leads to segregation
Social identity theory, homophily, etc.
Further: Less individualistic societies?
Checklist
We have learned that
network games can represent multiple social &
economic problems
Actors relations in the network affect their
behavior
Actors preferences influence the relationships
they form
Experimentally, individual characteristics are
more salient than payoffs
Questions?

More Related Content

PDF
SN- Lecture 11
PDF
SN- Lecture 8
PDF
SN- Lecture 3
PDF
SN- Lecture 10
PDF
SN-Lecture 13
PDF
SN- Lecture 1
PPTX
Sue austin
DOC
Kertas kerja pp da
SN- Lecture 11
SN- Lecture 8
SN- Lecture 3
SN- Lecture 10
SN-Lecture 13
SN- Lecture 1
Sue austin
Kertas kerja pp da

Similar to SN- Lecture 12 (20)

PDF
Making Decisions - A Game Theoretic approach
PPTX
Motivating contributors in social media networks
DOCX
S18SOCI111SocialNetworksHomework4DUE66198.docx
PDF
Interplay between social influence and competitive strategical games in multi...
PDF
Acemoglu lecture2
PDF
Game theory a novel tool to design model analyze and optimize cooperative net...
PDF
SN- Lecture 6
PPTX
Social Interactions among the economic.pptx
PPTX
Social networking game theory
PDF
Game Theory and Engineering Applications
PDF
Game Theory and Engineering Applications
PDF
socialpref
PDF
Participation costs dismiss the advantage of heterogeneous networks in evolut...
PDF
3. 8483 1-pb
PDF
Cooperation, Reputation & Gossiping
PDF
Theory Of Social Choice On Networks Preference Aggregation And Coordination W...
PPTX
G1.pptx - lecture slides - definition, classification
 
PPT
Lecture5:Social Network Analysis-By Dr. Y. Narahari
PPT
Lecture5:Social Network Analysis-By Dr. Y. Narahari
PPT
Dr Stahl Game Theory Jan 27
Making Decisions - A Game Theoretic approach
Motivating contributors in social media networks
S18SOCI111SocialNetworksHomework4DUE66198.docx
Interplay between social influence and competitive strategical games in multi...
Acemoglu lecture2
Game theory a novel tool to design model analyze and optimize cooperative net...
SN- Lecture 6
Social Interactions among the economic.pptx
Social networking game theory
Game Theory and Engineering Applications
Game Theory and Engineering Applications
socialpref
Participation costs dismiss the advantage of heterogeneous networks in evolut...
3. 8483 1-pb
Cooperation, Reputation & Gossiping
Theory Of Social Choice On Networks Preference Aggregation And Coordination W...
G1.pptx - lecture slides - definition, classification
 
Lecture5:Social Network Analysis-By Dr. Y. Narahari
Lecture5:Social Network Analysis-By Dr. Y. Narahari
Dr Stahl Game Theory Jan 27
Ad

More from Manu Muñoz H (19)

PDF
AppTheories_T7
PDF
AppTheories_L7
PDF
AppTheories_T6
PDF
AppTheories_L6
PDF
AppTheories_T5
PDF
AppTheories_L5
PDF
AppTheories_T4
PDF
AppTheories_L4
PDF
AppTheories_T3
PDF
AppTheories_L3
PDF
AppTheories_T2
PDF
AppTheories_L2
PDF
AppTheories_T1
PDF
AppTheories_L1
PDF
SN- Lecture 9
PDF
SN- Lecture 7
PDF
SN- Lecture 5
PDF
SN- Lecture 4
PDF
SN- Lecture 2
AppTheories_T7
AppTheories_L7
AppTheories_T6
AppTheories_L6
AppTheories_T5
AppTheories_L5
AppTheories_T4
AppTheories_L4
AppTheories_T3
AppTheories_L3
AppTheories_T2
AppTheories_L2
AppTheories_T1
AppTheories_L1
SN- Lecture 9
SN- Lecture 7
SN- Lecture 5
SN- Lecture 4
SN- Lecture 2
Ad

Recently uploaded (20)

PDF
D009 - Lahoo Ke Pyaase. its a hindi comics
PDF
Overlord Volume 06 - The Men in the Kingdom Part II.pdf
PDF
Features of Python_ A Beginner's Guide.pdf
PPTX
701301-Happy Birthday Slideshow Template.pptx
PDF
Lucky_MangA chapter 2. Story and Art by Enaji Studio
PDF
Call glamorous Delhi girls and enjoy elite vibes
PPTX
very useful for every thing in this area
PPTX
Cloud Computing ppt[1].pptxkuti7t888tt8iug
PPTX
VE_Situational_Question_Set1___2et2.pptx
PDF
Siemens NX 2506 Build 4001 Crack Free Latest Version 2025
PPTX
Difference Between Saving slides And Investment Slides.pptx
PPTX
Goal - its setting ,tracking and relevance
PPTX
see.pptxo89i7uklyjhukj,hiukjiu8iu8j78uyuy
PPTX
SWweredddddaregqrgWWEQEwqdewf final.pptx
PPTX
Mariah Morgenstern - Journey in Film & Music.pptx
DOCX
When Smiles Disappear: Helping Children Break Through Social Barriers
PDF
Fortnite Space Shooter With Latest Popular Pop Star
PDF
CMI College 2025- English presentation of the project
PDF
Fortnite: Eminem Battles Robot Slim Shady
PDF
Plot Dive – Movie Plots, Reviews & Celeb Insights
D009 - Lahoo Ke Pyaase. its a hindi comics
Overlord Volume 06 - The Men in the Kingdom Part II.pdf
Features of Python_ A Beginner's Guide.pdf
701301-Happy Birthday Slideshow Template.pptx
Lucky_MangA chapter 2. Story and Art by Enaji Studio
Call glamorous Delhi girls and enjoy elite vibes
very useful for every thing in this area
Cloud Computing ppt[1].pptxkuti7t888tt8iug
VE_Situational_Question_Set1___2et2.pptx
Siemens NX 2506 Build 4001 Crack Free Latest Version 2025
Difference Between Saving slides And Investment Slides.pptx
Goal - its setting ,tracking and relevance
see.pptxo89i7uklyjhukj,hiukjiu8iu8j78uyuy
SWweredddddaregqrgWWEQEwqdewf final.pptx
Mariah Morgenstern - Journey in Film & Music.pptx
When Smiles Disappear: Helping Children Break Through Social Barriers
Fortnite Space Shooter With Latest Popular Pop Star
CMI College 2025- English presentation of the project
Fortnite: Eminem Battles Robot Slim Shady
Plot Dive – Movie Plots, Reviews & Celeb Insights

SN- Lecture 12

  • 1. Games On NetworksGames On Networks Lecture 12
  • 2. Aim Lecture 12 To understand how networks & games are related Games with strategic complements Games with heterogeneous players Games with endogenous link formation An experiment on network games
  • 3. So far... We are interested in understanding networks & behavior Now by bringing strategic interaction into play Network Games
  • 4. In network games Decisions to be made Not just a simple diffusion or contagion process People care about what other people are doing Complementarities I want to buy/use a certain software only if other people are buying/using that same software Languages, attending to social events... Interdependencies between individuals
  • 5. For this purpose We use game theory as a tool to try and understand how behavior relates to network structure
  • 6. Players on a network Different individuals each making decisions Games on Networks Care about the actions of neighbors Interdependencies in payoffs (i.e., their utility function) Our Focus What can we say about behavior & how it relates to network structure
  • 8. Each player chooses an action xi in {0,1} Network game Either use the software or not Payoff will depend on my choice the choice of my neighbors ui(xi, xNi) How many choose 1 or 0Whether I choose 1 or 0
  • 9. Either take an action or not simplifying assumptions 1 2 Care about actions of neighbors but not who they are (Identities) 3 Fixed networks 1 or 0, but not a wide range of choices I don’t have best friends or closer neighbors I cannot choose my neighbors but they are given It will become richer soon...
  • 10. Complements vs. Substitutes Types of games As more of my friends take an action, it is more attractive to me ui(1,m)-ui(0,m)≥ ui(1,m’)-ui(0,m’) for all m≥m’ Strategic complements - Increasing differences Strategic substitutes - Decreasing differences As more of my friends take an action, it is less attractive to me ui(1,m)-ui(0,m)≤ ui(1,m’)-ui(0,m’) for all m≥m’ Coordination Anti-Coordination
  • 11. Example 1 An agent chooses action 1 if at least two neighbors do: threshold of one. Payoff action 0: ui=0 Payoff action 1: ui=-1, if less than two neighbors choose 1 ui=1 per coordination, if at least two neighbors choose 1 Remember: payoffs are ordinal. The number doesn’t matter
  • 12. Example 1 For example: I only choose to use a technology (choose 1) if at least 2 of my friends are using it, otherwise I rather not do it. An agent chooses action 1 if at least two neighbors do: threshold of one. 0 0 0 0 00 0 0 0 0 0 Only one neighbor, so they can’t choose 1
  • 13. Example 1 For example: 0 0 0 0 00 0 0 0 0 0But, how about this guy? I only choose to use a technology (choose 1) if at least 2 of my friends are using it, otherwise I rather not do it. An agent chooses action 1 if at least two neighbors do: threshold of one.
  • 14. Example 1 For example: I only choose to learn to play bridge if at least 2 of my friends know how to play it. otherwise I rather not do it. 0 0 0 0 01 0 0 1 1 0 Each has at least two friends choosing 1 An agent chooses action 1 if at least two neighbors do: threshold of one.
  • 15. Nash Equilibrium No player wants to change her behavior alone, fixing what her neighbors are doing 0 0 0 0 00 0 0 0 0 0 Case 1: The technology is never used
  • 16. Nash Equilibrium Case 2: These three people adopted the technology because each of them has 2 neighbors using it 0 0 0 0 01 0 0 1 1 0 In this case no one else would want to do it
  • 18. Either take an action or not simplifying assumptions 1 2 Care about actions of neighbors but not who they are (Identities) 3 Fixed networks 1 or 0, but not a wide range of choices I don’t have best friends or closer neighbors I cannot choose my neighbors but they are given
  • 19. Strategic complementarities Games with complements The choice to take an action by my friends increases my relative payoffs to taking that action (tipping point) Tipping point: Threshold (ti) Number of my neighbors adopting the technology (choosing action 1) 0 niti ------- I choose 0 ------- ------- I choose 1 ------- if ni(1)<ti I choose 0 & if ni(1)≥ti I choose 1
  • 20. Education decisions: university, human capital? Some examples of SC Increases access to jobs (the more people you know who are well educated the higher the chances) Invest if at least k neighbors do the same Technology adoption/ learn a language Peer influence were the pressure grows with the size of the crowd Cheating, doping Anti-social behavior: smoking among teens If you are in sports and others are taking “performance enhancing drugs” The relative payoff goes up the more others are doing it... even though the more people do it doesn’t make it better for an athetle
  • 21. Example 2 Players have preferences for the different options: like one more than the other any two players are identicalSo far: Heterogeneous Network Games: Conflicting Preferences with P. Hernández & A. Sánchez (GEB, 2013) Types: ui= a for 1 & b for 0 ui= b for 1 & a for 0 a>b
  • 22. Example 2 1 > 0 0>1 2a,2a a,b b,a 2b,2b 1 0 1 0 2a,2b a,a b,b 2b,2a 1 0 1 0 2b,2b b,a a,b 2a,2a 1 0 1 0 Conflicting preferences: Players want to be together, but have different opinions about which is the most desirable outcome
  • 23. Example 2 An agent chooses her favorite action if ti=1/3 of her neighbors choose it Neighbors choosing 1 0 ni ti ti 0 0 1 0 1 1 There are two thresholds: One to choose what I like (ti) & one to choose what I dislike (ti)
  • 24. With heterogeneity We can understand & model the strength of social influence needed to make players adopt certain behaviors Education decisions: The effect is different for people who would prefer to study than for those who would prefer to jump into the job market Anti-social behavior: Kids who would like smoking need less influence to start than others
  • 25. Example 2 We know need to consider: preference (type) & behavior (action chosen) 00 00 00 00 0000 00 00 00 00 00 The first digit is the preference & the second the behavior
  • 26. Example 2 We know need to consider: preference (type) & behavior (action chosen) Case 1: This is a Specialized satisfactory equilibrium. 00 00 00 00 0000 00 00 00 00 00 All choose the same action & are happy
  • 27. Example 2 We know need to consider: preference (type) & behavior (action chosen) 11 11 11 11 1111 11 11 11 11 11 All choose the same action & are happy Case 1: This is a Specialized satisfactory equilibrium.
  • 28. Example 2 We know need to consider: preference (type) & behavior (action chosen) Case 2: This is a Specialized frustrated equilibrium. 00 00 00 00 0010 10 10 10 10 00 All choose the same action but the 1’s are frustrated
  • 29. Example 2 We know need to consider: preference (type) & behavior (action chosen) Case 2: This is a Specialized frustrated equilibrium. 01 01 01 01 0111 11 11 11 11 01 All choose the same action but the 0’s are frustrated
  • 30. Example 2 We know need to consider: preference (type) & behavior (action chosen) Case 3: This is a Hybrid satisfactory equilibrium. 00 00 00 00 0011 11 11 11 11 11 All choose the preferred action (happy) & both actions coexist
  • 31. Example 2 We know need to consider: preference (type) & behavior (action chosen) Case 4: This is a Hybrid frustrated equilibrium. 00 00 10 00 0001 11 11 11 11 01 Some choose the non-preferred action & both actions coexist
  • 32. What does this mean? People’s relationships with others determine the benefits they can get and the goals they can achieve 1 Marsden & Gorman, 2001 About 2/3 of the working population in western industrialized societies (informal social ties) Participation in political protest Affected by friendship and family networks Opp & Gern, 1993 Finding jobs
  • 33. But... 2 People’s characteristics determine the social relationships they form Opportunity (Contact theory) More of a chance of meeting your own type The possibility that you meet people could be biased by attributes (i.e, race) Costs & benefits Social pressure or social competition Common attributes (i.e., language, culture, knowledge) make it easier
  • 34. Network Games Endogenous link formation With & Strategic Complementarities Heterogeneous Preferences &
  • 35. Either take an action or not simplifying assumptions 1 2 Care about actions of neighbors but not who they are (Identities) 3 Fixed networks 1 or 0, but not a wide range of choices I don’t have best friends or closer neighbors I cannot choose my neighbors but they are given
  • 36. A person’s social network promotes her goal achievement & 1 2 A person will invest in her social network (i.e., form relationships) depending on its instrument value Combined arguments What if people’s preferences on the possible outcomes are in conflict? Heterogeneity in preferencesHeterogeneity in preferences
  • 37. The Model 2 stage network game Nodes: Purposive rational actors Players Type ✓i 2 {0, 1} N = {1, . . . , n} Affiliation Each player announces who they wish to link with pi = (p1 , . . . , pn ) A link forms iff both players propose to each other Behavior Adoption Players observe the network and choose an action X = {0, 1} A player of type 1 prefers action 1 over 0
  • 38. The Model The network generates payoffs to the players ui(✓i, (p1 , . . . , pn ), xi, xki(g)) = ✓i xi (1 + Pki j=1 I{xj =xi}) cpi Indicator function coordination Type parameter a if happy b if frustrated Linking cost for every proposal a>b>c Coordination game with strategic complementarities
  • 39. The Model Equilibrium examples Subgame perfect Nash equilibrium No links with uncoordinated neighbors are kept Only links with coordinating neighbors are part of an equilibrium No unreciprocated links are proposed There are multiple networks that satisfy these properties The more neighbors coordinating with the better Threshold model (tipping point to choose favorite action)
  • 40. The effect of different levels of conflict in the preferences (microlevel) on the emerging network configurations (macrolevel) Experimental Design 3 treatments No conflict (15-0) - 30 subjects+ + Low conflict (12-3) - 45 subjects + High conflict (8-7) - 45 subjects One-shot + 15 players + 20 rounds + z-tree Undergraduate students Universitat de Valencia (Spain)
  • 41. Experimental Design Multiple equilibria Link Proposal Action 1 socially optimal Complete network Favorite behavior of the majority
  • 42. Results Who is proposing connections to whom? Subjects segregate between types (preferences) in the relationships they form 1 Maj proposes & connects most often in No and least often in High+ Min proposes & connects most often in High and least often in Low In High, Min sends more proposals between groups than Maj + + 2 components in heterogeneity
  • 43. Results Who is proposing connections to whom? Box plots of proposals & connections within & between groups
  • 44. Results Subjects attempt to maximize payoffs within the equilibrium they choose2 How is the level of connectivity? Differences between treatments and groups are systematic+ ANOVA: (Ftreatment=5.00, p<0.01; Fgroup=79.92, p<0.001) + Min networks are denser than the Maj networks + Density is lower in Low than in No + Max. density is reached for Min in High
  • 45. Results Box plots of density by treatment and groups How is the level of connectivity?
  • 46. Results Subjects reach stable configuration in homogeneity or minorities in heterogeneity3 Is there any stable subgroup & when? NO: complete density from round 12 on LOW & HIGH: Do not reach complete density + lower density than Min Minority LOW: complete density from round 4 on. HIGH: start off with higher densities + complete density from round 6 Once complete density is reached it remains very stable. Majority
  • 47. Results Is there any stable subgroup & when?
  • 48. Is there any stable subgroup & when? Results
  • 49. Is there any stable subgroup & when? Results
  • 50. Implications Conflicting preferences social optimality is not reached (risk- dominant equilibrium) Subjects aim for the payoff dominant equilibrium within their segregated Eq. Individual preferences are more focal than payoffs Game theoretic Lit: exogenous networks (risk-dominant equilibrium) endogenous networks (payoff dominant equilibrium) Existence of conflict (not level) leads to segregation Social identity theory, homophily, etc. Further: Less individualistic societies?
  • 51. Checklist We have learned that network games can represent multiple social & economic problems Actors relations in the network affect their behavior Actors preferences influence the relationships they form Experimentally, individual characteristics are more salient than payoffs