Part One: Social Network Analysis, Prosopography, and History
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The Power of Place: Structure, Culture, and Continuities in U.S. Women's Movements
The Power of Place: Structure, Culture, and Continuities in U.S. Women's Movements By Laura K. Nelson A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Sociology in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Kim Voss, Chair Professor Raka Ray Professor Robin Einhorn Fall 2014 Copyright 2014 by Laura K. Nelson 1 Abstract The Power of Place: Structure, Culture, and Continuities in U.S. Women's Movements by Laura K. Nelson Doctor of Philosophy in Sociology University of California, Berkeley Professor Kim Voss, Chair This dissertation challenges the widely accepted historical accounts of women's movements in the United States. Second-wave feminism, claim historians, was unique because of its development of radical feminism, defined by its insistence on changing consciousness, its focus on women being oppressed as a sex-class, and its efforts to emphasize the political nature of personal problems. I show that these features of second-wave radical feminism were not in fact unique but existed in almost identical forms during the first wave. Moreover, within each wave of feminism there were debates about the best way to fight women's oppression. As radical feminists were arguing that men as a sex-class oppress women as a sex-class, other feminists were claiming that the social system, not men, is to blame. This debate existed in both the first and second waves. Importantly, in both the first and the second wave there was a geographical dimension to these debates: women and organizations in Chicago argued that the social system was to blame while women and organizations in New York City argued that men were to blame. -
Decio Funaro Análise De Redes Sociais Em
DECIO FUNARO ANÁLISE DE REDES SOCIAIS EM COMUNIDADES CIENTÍFICAS São Paulo 2015 DECIO FUNARO ANÁLISE DE REDES SOCIAIS EM COMUNIDADES CIENTÍFICAS Versão Corrigida Dissertação apresentada ao Departamento de Biblioteconomia e Documentação da Escola de Comunicações e Artes da Universidade de São Paulo, para obtenção do título de Mestre em Ciência da Informação. Orientador: Prof. Dr. Marcos Luiz Mucheroni São Paulo 2015 Autorizo a reprodução e divulgação total ou parcial deste trabalho, por qualquer meio convencional ou eletrônico, para fins de estudo e pesquisa, desde que citada a fonte. Catalogação da Publicação Serviço de Documentação Odontológica Faculdade de Odontologia da Universidade de São Paulo Funaro, Decio. Análise de redes sociais em comunidades científicas / Decio Funaro ; orientador Marcos Luiz Mucheroni. -- São Paulo, 2015. 121 p. : tab. ; 30 cm. Dissertação (Mestrado) -- Programa de Pós-Graduação em Ciência da Informação. Área de Concentração: Cultura e Informação. Escola de Comunicações e Artes da Universidade de São Paulo. Versão corrigida. 1. Redes sociais. 2. Análise de redes sociais. 3. Comunidade científica. 4. Redes colaborativas de coautoria. I. Mucheroni, Marcos Luiz. II. Título. Nome: FUNARO, D. Título: Análise de redes sociais em comunidades científicas. Dissertação apresentada ao Departamento de Biblioteconomia e Documentação da Escola de Comunicações e Artes da Universidade de São Paulo, para obtenção do título de Mestre em Ciência da Informação. Aprovado em: 28/08/2015 Banca Examinadora Prof. Dr. Marcos Luiz Mucheroni - Orientador Instituição: CBD-ECA-USP Julgamento: ______________________ Prof. Dr. Moacir Domingos Novelli Instituição: FO – USP Julgamento: ______________________ Prof. Dr. Rogério Mugnaini Instituição: CBD-ECA-USP Julgamento: ______________________ Durante todo o tempo que dediquei a este trabalho, tive em minha mente e meu coração pessoas que, de fato, são o grande motivo de continuar lutando. -
Object-Oriented Genetic Programming for the Automatic Inference of Graph Models for Complex Networks
Object-Oriented Genetic Programming for the Automatic Inference of Graph Models for Complex Networks Michael Richard Medland Department of Computer Science Submitted in partial fulfillment of the requirements for the degree of Master of Science Faculty of Mathematics and Science, Brock University St. Catharines, Ontario c M.R. Medland, 2014 To my children, You have are the reason for my perseverance, And To my extraordinary wife, You have been my rock, my sounding board, and saving grace. Abstract Complex networks are systems of entities that are interconnected through meaningful relationships. The result of the relations between entities forms a structure that has a statistical complexity that is not formed by random chance. In the study of complex networks, many graph models have been proposed to model the behaviours observed. However, constructing graph models manually is tedious and problematic. Many of the models proposed in the literature have been cited as having inaccuracies with respect to the complex networks they represent. However, recently, an approach that automates the inference of graph models was proposed by Bailey [10] The proposed methodology employs genetic programming (GP) to produce graph models that ap- proximate various properties of an exemplary graph of a targeted complex network. However, there is a great deal already known about complex networks, in general, and often specific knowledge is held about the network being modelled. The knowl- edge, albeit incomplete, is important in constructing a graph model. However it is difficult to incorporate such knowledge using existing GP techniques. Thus, this the- sis proposes a novel GP system which can incorporate incomplete expert knowledge that assists in the evolution of a graph model. -
Redes Libres De Escala En Ciencias Sociales: Significado Y Perspectivas
Ier. Reunión Latinoamericana de Análisis de Redes Sociales. Agosto de 2007, La Plata, Argentina. Univ. Nacional de La Plata, 2008. ISBN 978-950-34-0513-0 www.analisisredes.com.ar Redes libres de escala en ciencias sociales: Significado y perspectivas Carlos Reynoso UNIVERSIDAD DE BUENOS AIRES [email protected] Versión 2.9 – Marzo de 2008 1 – Justificación ......................................................................................................................... 2 2 – Especificación epistemológica ............................................................................................. 4 3 – Redes, una vez más .............................................................................................................. 8 4 – Momento fundacional: Teoría de grafos ............................................................................ 11 5 – De grafos a redes: La Sociometría y la Escuela de Harvard .............................................. 16 6 – Redes aleatorias: Posibilidades y límites del azar ............................................................. 23 7 – Teorías sociológicas y antropológicas de redes ................................................................. 31 8 – Análisis micro, análisis macro y la fuerza de los lazos débiles ......................................... 38 9 – El advenimiento de los Mundos Pequeños ........................................................................ 42 10 – Encuentro de las redes y la complejidad: Redes libres de escala ................................... -
Redes Sociales Y Complejidad: Modelos Interdisciplinarios En La Gestión Sostenible De La Sociedad Y La Cultura
Carlos Reynoso – Redes sociales y complejidad Redes sociales y complejidad: Modelos interdisciplinarios en la gestión sostenible de la sociedad y la cultura Carlos Reynoso UNIVERSIDAD DE BUENOS AIRES http://carlosreynoso.com.ar Versión 6.02.04 – Febrero de 2011 1 – Presentación: La antropología en la era de las redes................................................... 2 2 – Especificación epistemológica .................................................................................11 3 – Redes, una vez más.................................................................................................. 17 4 – El momento fundacional: La teoría de grafos........................................................... 26 5 – De grafos a sociogramas: La Sociometría y la primera Escuela de Harvard.............. 61 6 – Redes aleatorias: Posibilidades y límites del azar..................................................... 80 7 – Redes en antropología: De la Escuela de Manchester a Bruno Latour..................... 100 8 – Análisis micro, macroestructuras y la fuerza de los lazos débiles ........................... 120 9 – Travesías por mundos pequeños............................................................................. 130 10 – Redes IE: Complejidad, fractalidad y principio de San Mateo.............................. 139 11 – Más allá del ruido blanco: Ley de potencia y análisis espectral ............................ 151 12 – Las redes complejas del lenguaje y el texto .......................................................... 175 13 – Clases