A01=Matthew O. Jackson
Addition
Age Group_Uncategorized
Age Group_Uncategorized
Algorithm
Almost surely
Approximation
Assortativity
Author_Matthew O. Jackson
automatic-update
Average path length
Bargaining power
Betweenness
Binomial distribution
Calculation
Category1=Non-Fiction
Category=JBF
Category=JBS
Category=JFFP
Category=JFS
Category=KCC
Centrality
Coefficient
Combination
Community structure
Cooperative game
Coordination game
COP=United States
Data set
Degree distribution
Delivery_Delivery within 10-20 working days
Diameter
Economic Network
Efficiency
Eigenvalues and eigenvectors
Emergence
Employment
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Equation
Estimation
Expected value
Externality
Giant component
Inefficiency
Language_English
Law of large numbers
Likelihood function
Markov chain
Mean-preserving spread
Nash equilibrium
Network model
PA=Available
Parameter
Pareto efficiency
Percentage
Poisson distribution
Power law
Prediction
Preferential attachment
Price_€50 to €100
Probability
Probability distribution
Proportionality (mathematics)
PS=Active
Quantity
Random graph
Random variable
Randomness
Shapley value
Social capital
Social influence
Social network analysis
Social relation
Social structure
Sociology
softlaunch
Special case
Star network
Statistic
Stochastic dominance
Strategic complements
Subset
Summation
Theorem
Theory
Transferable utility
Tree (data structure)
Upper and lower bounds
Utility
Product details
- ISBN 9780691148205
- Weight: 822g
- Dimensions: 178 x 254mm
- Publication Date: 21 Nov 2010
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
- Language: English
Secure
checkout
Fast Shipping
Easy returns
Networks of relationships help determine the careers that people choose, the jobs they obtain, the products they buy, and how they vote. The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network structures are likely to emerge in a society, and why we organize ourselves as we do. In Social and Economic Networks, Matthew Jackson offers a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics. He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation. He helps readers to understand behavior in networked societies, with a detailed analysis of learning and diffusion in networks, decision making by individuals who are influenced by their social neighbors, game theory and markets on networks, and a host of related subjects. Jackson also describes the varied statistical and modeling techniques used to analyze social networks.
Each chapter includes exercises to aid students in their analysis of how networks function. This book is an indispensable resource for students and researchers in economics, mathematics, physics, sociology, and business.
Matthew O. Jackson is the William D. Eberle Professor of Economics at Stanford University.
