Access Relations
Access Requests
actor-oriented analysis
adjacency
Adjacency Matrix
Bystander Effects
Category=JBS
Category=JHB
Cellular Automata
choice
Compliant Control
continuous
Continuous Time Markov Chain
Continuous Time Markov Chain Models
Continuous Time Markov Model
Dominance Ties
E-state Structuralism
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Equilibrium Networks
evolutionary social network modelling
Exhibit Social Structure
External Friendships
friendship
Friendship Choices
group formation theory
hypothesis
Independent Random Elements
Informal Social Control
longitudinal data methods
markov
matrix
models
network dynamics
Nongroup Members
Random Graph
Robbins Monro Procedure
Social Network Analysis
Social Network Evolution
social structure modelling
stochastic processes
Tension Function
time
Unreciprocated Choices
Vice Versa
Product details
- ISBN 9781138969193
- Weight: 453g
- Dimensions: 156 x 234mm
- Publication Date: 28 Jul 2016
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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This book answers the question of whether we can apply evolutionary theories to our understanding of the development of social structures.
Social networks have increasingly become the focus of many social scientists as a way of analyzing these social structures. While many powerful network analytic tools have been developed and applied to a wide range of empirical phenomena, understanding the evolution of social organization still requires theories and analyses of social network evolutionary processes. Researchers from a variety of disciplines have combined their efforts in what is an indication of some very promising future research and the work represented in this volume provides a basis for a sustained analysis of the evolution of social life.
Doreian, Patrick, University of Pittsburgh Pennsylvania., Frans N., Stokman, University of Groningen The Netherlands
