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Sociology --- Sociologie --- Methodology --- Mathematical models --- Méthodologie --- Modèles mathématiques --- -Sociology --- -#SBIB:303H510 --- Social theory --- Social sciences --- Methoden sociale wetenschappen: statistische technieken, algemeen --- Mathematical models. --- Methodology. --- Méthodologie --- Modèles mathématiques --- #SBIB:303H510
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Methods in social research (general) --- Mathematical statistics --- Social sciences --- Sciences sociales --- Mathematical models --- Modèles mathématiques --- -30 --- 519.2 --- 316.4 --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Sociale processen --- 316.4 Sociale processen --- Modèles mathématiques --- 30
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Taken from a special issue of the journal 'Mathematical Sociology', 'Evolution of Social Networks 'answers the question of whether we can apply evolutionary theories to our understanding of the development of social structures. Social life emerges as soon as persons establish relations with each other. Regardless of the specific social processes, these relations evolve into networks with coherent structures, structures that provide some actors with opportunities for action while impeding the progress of others. 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 promis
Primary groups --- Social networks. --- Sociometry. --- Réseaux sociaux --- Sociométrie --- Réseaux sociaux --- Sociométrie
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This book provides an integrated treatment of blockmodeling, the most frequently used technique in social network analysis. It secures its mathematical foundations and then generalizes blockmodeling for the analysis of many types of network structures. Examples are used throughout the text and include small group structures, little league baseball teams, intra-organizational networks, inter-organizational networks, baboon grooming networks, marriage ties of noble families, trust networks, signed networks, Supreme Court decisions, journal citation networks, and alliance networks. Also provided is an integrated treatment of algebraic and graph theoretic concepts for network analysis and a broad introduction to cluster analysis. These formal ideas are the foundations for the authors' proposal for direct optimizational approaches to blockmodeling which yield blockmodels that best fit the data, a measure of fit that is integral to the establishment of blockmodels, and creates the potential for many generalizations and a deductive use of blockmodeling.
Social networks --- Sociometry. --- Mathematical models. --- Sociometry --- Mathematical models --- Educational tests and measurements --- Mathematical sociology --- Social interaction --- Social psychology --- Networking, Social --- Networks, Social --- Social networking --- Social support systems --- Support systems, Social --- Interpersonal relations --- Cliques (Sociology) --- Microblogs --- Social Sciences --- Sociology
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