Methods of network analysis with R in social sciences
- The goal of the course is ensure that PhD students understand topics and principles of network analysis.
- To provide students with an understanding of the basic principles of network analysis and lay the foundation for future learning in the area.
- • To develop student familiarity, through hands-on experience, with the major network modeling pro-grams, so that they can use them and interpret their output.
- • To develop and/or foster critical reviewing skills of published empirical research using network analyt-ic methods.
- • To explore the advantages and disadvantages of various network analytic tools and methods, and demonstrate how they relate to other methods of analysis.
- • To provide students with an understanding of the basic principles of network analysis and lay the foundation for future learning in the area.
- Network Approach in Social Science ResearchSocial network analysis: Methods or theory? Structural approach. Interdisciplinary interest in network analysis. Network theories most popular in sociology. Key network concepts: network, structure, nodes, ties, sociogram, structural and compositional variables, etc. Types of network data. Sampling and data collection in network analysis
- Network Data, Matrices, Graphic Representation of Social Networks, and Basic Network MeasuresSurvey instruments for collecting network data. Network data collection and ethical issues. Basic measures of network characteristics. Graphic representation of network relations.
- Personal Ties and Social SupportNetwork measures for dyads and triads. The forbidden triad. Clustering. Identifying tightly connected groups and subgroups in social networks. Small-world phenomenon. Homophily principal in personal rela-tionships. Cultural and historical differences in network connectivity. Personal ties and social support.
- Position Analysis in Social NetworksCentrality and Influence. Measures of Centrality. Two-mode networks: transformation, graphical repre-sentation, and analysis. Centrality and two-mode networks in the studies of power and influence.
- Ties that BenefitThe strength of weak ties. Social capital at the individuals and community level. Social capital in com-panies’ economic activities. Social capital in the labor market and its role in social mobility. Structural holes in competition.
- Social Networks in SocietySocial networks and education. Representation of mental models as social networks. Diffusion of in-novation through social networks. Social networks and technology. Deviant behavior, crime and social net-works. Social stratification, social change, and social networks.
- Network models in RReadings and assignments will be handed out in class.
- Interim assessment (1 semester)0.5 * Final Project + 0.2 * Homework x5 + 0.1 * Quizzes x10 + 0.2 * Seminars x10