SOC101Y1 Lecture 3: Lecture 3 Notes
Document Summary
Network analysis argues that similar network structures have similar causes and similar effects. Random networks have very predictable structures: one component, low clustering, short path- length. Networks are affected by: preferences for interaction, contexts or foci in which contacts are made. homophily- tendency for like to associate to like: growth over time. new nodes- change in structure, ties ties form through others, popular continue to be popular etc. In particular- simmel"s argument for separating form (sociologists to study) from content. Individuality is the result of network and resolving conflicts in network position. What makes network theories different: relations, not attributes, networks not groups, relations in the context of other relations. How to make your very own network theory: formalist theories www. notesolution. com, structuralist theories. Term coined by robert k. merton (contemporary theorists based out of columbia)- theory of deviance, matthew effect (rich get richer and poor get poorer)
